# Data Parrot - Full Content Index Data Parrot is an AI revenue intelligence platform that turns CRM activity into clearer deal health, forecast risk, pipeline movement, and coaching signal for CEOs and revenue leaders. --- ## Products ### Deal Health URL: https://dataparrot.ai/product/deal-health Score every deal from what is actually happening in the CRM, not from rep optimism or stale fields. Coach smarter, close faster with deep insights into deal quality and risks. No more guessing which deals will close. Features: - Overall deal health and progress status - Reasoning behind each score - Purchase intent, chance of winning, and sales performance signals - Why we'll win and why we'll lose context - Next-best actions and coaching suggestions - Timeline and recent change context #### Objective deal health based on what actually happened. Deal health built on real emails, calls, meetings, and deal progression. Objective and unbiased. Every score comes with the activity that produced it. - Health scores reflect the objective truth of what happened with the customer, based on real activity and communications. - Every score comes with specific reasoning and evidence so you understand why a deal looks strong or weak. - Data Parrot uses deal progression and momentum signals so your team can see which deals are getting stronger or weaker. #### Personalized to how your company sells. Data Parrot learns how your company sells. Your pipelines, your deal types, your sales cycles. Zero setup. Zero maintenance. - Personalized to your business and pipeline types, so scores reflect how your team actually sells. - Understands the context of your deal stages, typical progression patterns, and what healthy activity looks like for your business. - Works across multiple pipelines and deal types within the same account. #### Catch deal risk early while you can still change the outcome. The earlier you know a deal is at risk, the more you can do about it. Data Parrot surfaces the reasons every deal will win or lose as soon as the signals develop, so your team can act while there's still time. - Spot at-risk deals early, while you still have time to change the outcome. - Read every deal's "why we will win" and "why we will lose" with the same signals the AI is grading on, in plain language. - Next best actions and coaching suggestions give reps and managers a clear path forward on every deal. #### Deal Health lives in your CRM, right where your team already works. Deal health scores, signals, and next actions directly inside the deal records your team already uses. No tab-switching, no new app to learn. - AI-powered health scores, coaching suggestions, and risk signals embedded directly in every deal record. - Reps see coaching suggestions and risk signals in the same view where they update their deals. - Managers can review deal health during pipeline reviews without leaving the CRM. ### Sales Forecasting URL: https://dataparrot.ai/product/sales-forecasting Build a forecast from real pipeline behavior, risk signals, and movement instead of spreadsheet guesswork. An executive thesis on the quarter, the leads to investigate first, and deal-level evidence behind every number. No more rep optimism dressed up as commit. Features: - Deal-level forecast drilldown - Health, status, and intent breakdowns - Pipeline, stage, and owner filtering - Time-based progression views - Forecasts tied back to the deals behind the number #### Your forecast, broken down by deal health. Stack your pipeline by health tier and watch the forecast build over the next six months. Coverage gaps are obvious at a glance. - Cumulative forecast over six months, stacked by Very High through Very Low health. - Goal line overlaid so you can see coverage and gaps at a single look. - Every band tied back to the deal-health signals behind the number. #### Your CRM tells you the total. We tell you the quality. A $25M pipeline against an $18M goal looks fine. Then you see how little of it is in strong deals. Data Parrot breaks down every forecast dollar by deal health so you know whether you'll hit or miss before the meeting starts. - Every forecast dollar graded on a five-point deal-health scale, so you can see what's real and what's noise. - Goal, total pipeline, and the deal-health breakdown side by side in one view. - Spot weak forecasts before they become missed quarters. The part HubSpot reports can't tell you. #### Automatically build Forecast Scenarios with AI Composer. Strong deals to commit. Big deals at risk. Deals with timing risk. Deals that aren't moving. Data Parrot's AI creates the forecast scenarios based on your data so you can forecast with confidence. - Forecast scenarios generated from your real pipeline data, not generic templates. - Every angle covered: timing risk, health risk, big deals at risk, strongest commit. - One click and the AI Composer streams in scenarios named and ready to open. #### Walk into the meeting with the brief already written. Data Parrot reads your pipeline and writes a board-ready forecast brief. An executive summary that names the story, the opportunities to push, the risks to manage, and the recommended actions for each. Exported to PDF before the meeting starts. - Executive summary that names what's actually happening in your forecast. - Opportunities and risks called out by name, with the why and the recommended next move. - Exported to PDF and ready to share with leadership before the meeting. ### Sales Activity URL: https://dataparrot.ai/product/sales-activity Track meetings, calls, emails, deals, and leads in one dashboard instead of pulling separate CRM activity reports. Calls, meetings, emails, deals, and leads for your whole team. One dashboard where one filter updates every widget on the page. No more building and maintaining separate reports for every combination of owner, pipeline, and time period. Features: - Calls, meetings, emails, deals, and leads in one dashboard - Filters by date range, owner, team, and pipeline - Filters update every widget at once - Add, remove, drag, drop, and resize widgets - Activity by deal stage - Saved layouts for recurring reviews - CSV export and HubSpot deep links #### One dashboard. Filter how you want. No more building a report for each owner, each pipeline, each time period. One dashboard with filters that update everything at once. Switch from this week to last month, from one rep to the whole team, from one pipeline to all of them. - Filter by date range, owner, team, or pipeline and every widget on the page updates at once. - Switch between yesterday, this week, this quarter, or any custom window without building a new report. - No more maintaining twenty reports for twenty questions. One dashboard handles them all. #### Filter rep activities by the deal stage when it happened. Want to see meetings that happened in Discovery? Calls made during Negotiation? Emails sent in Proposal? Add a column for any activity in any deal stage, based on where the deal was at the time, not where it sits today. - Add a column for meetings held in Discovery, calls in Negotiation, emails in Proposal, any combination. - Based on where the deal was at the time, not where it is now. - Combine with owner and pipeline filters and every widget updates to match. #### Add, remove, and drag what you want to see. The dashboard is a dynamic grid you can shape however you want. Add widgets for calls, meetings, emails, deals, or leads, remove the ones you do not need, drag and resize until the layout matches what your team actually looks at. Save it once and it stays. - Add widgets for calls, meetings, emails, deals, or leads. Remove whatever you do not need. - Drag, drop, and resize any widget on the grid. - Save the layout once. It persists across sessions without rebuilding. ### Pipeline Inspection URL: https://dataparrot.ai/product/pipeline-inspection Track what changed in pipeline coverage, stage velocity, and deal momentum without building fragile custom reports. Quickly identify whether your pipeline is growing or shrinking, what caused the change, and which deals are driving it. Features: - Point-in-time pipeline comparisons - Deal movement across stages - Historical pipeline change context - Drilldown to the deals behind the delta - Stage velocity and bottleneck inspection #### Is your pipeline growing or shrinking? See your pipeline's start value, end value, and the net change across any time period. One clear answer to the question every revenue leader asks first. #### What caused the change? Every dollar of pipeline change attributed to a category. New deals, closed deals, amount changes. See exactly where the movement came from. #### Drill into the deals behind any number. Every aggregate is one click from the deals it represents. No more 'what deals are in this number' questions during pipeline review. ### Customer Health URL: https://dataparrot.ai/product/customer-health Extend the same decision-ready signal into renewals, expansion, and customer risk. By the time a customer tells you they are leaving, you have already lost them. Data Parrot reads the signals across every account and surfaces the ones that need you, before it is too late. Features: - Customer health status and prioritization - At-risk, critical, and healthy account filtering - Search and direct CRM linkage - AI-scored health labels for every account - Account health tied to Deal Health, Forecasting, and Pipeline Inspection #### Read your entire customer base in seconds. Stop reading customer accounts one at a time. Sort and filter the whole base by health, trend, or revenue and the accounts that need you surface immediately. Every metric you care about is rolled up next to the AI score, with no workflows to build. - Sort and filter by health, trend, lifetime value, or anything that matters. - Last touch, open deal value, and lifetime revenue rolled up next to every account. - No black-box AI: every score comes with a written headline and the receipts behind it. ### Win-Loss URL: https://dataparrot.ai/product/win-loss Analyze won and lost HubSpot deals to find the signals that drive success or failure in the sales process. Data Parrot analyzes your closed deals and ranks the signals behind wins and losses by deal count and revenue impact. See the customer pains, sales motions, compelling events, and internal blockers costing or creating revenue. No surveys. No tagging. No manual postmortems. Features: - AI win-loss analysis for won and lost HubSpot deals - Overall summary for every deal, including key reasons and the most surprising impact - Sales performance analysis across sales motions, internal assists, and internal blockers - Customer dynamics analysis across buyer pains, compelling events, stakeholders, and customer friction - Drill into any signal to see the deals and AI evidence behind it #### The real reasons deals close, not the ones reps type into a dropdown. Rep-entered loss reasons are usually one word, often wrong, and never actionable. Data Parrot reads every email, call, and meeting in the deal timeline, then tells you what really happened across every deal in your CRM. - AI reads the entire deal timeline. No surveys, no tagging, no follow-up calls. - Personalized to your business, your pipelines, and your industry. - Updates automatically as deals close. Zero ongoing work. #### Know the pains and compelling events that drive winning deals. Data Parrot reveals the customer pains and compelling events that push buyers to make a decision, so you can see what actually leads to wins. Marketing can use that data to evolve ICP targeting, build landing pages around proven buyer pain, run sharper campaigns, and generate higher-quality leads. Sales can use it to sharpen discovery calls, anchor follow-up around real urgency, and repeat what is already working in won deals. - See the customer pains buyers bring into deals you win. - Find the deadlines, renewals, projects, and business events that create urgency. - Turn those reasons into ICP updates, landing pages, outbound, ads, and campaigns. - Give sales discovery and follow-up language tied to why customers actually buy. #### Find the internal blockers costing you deals. Data Parrot shows when deals are lost because the support system around the sales team broke down: proposals took too long, approvals dragged, contract steps stalled, pricing questions bounced around, or the team did not get the internal help needed to win. - See which lost deals were hurt by proposal delays, approval drag, contract slowdowns, and internal handoff issues. - Find the blockers your sales team deals with every day but rarely captures cleanly in CRM fields. - Fix the internal support system around sales with evidence from real deal timelines. #### See the evidence behind every win and loss. Data Parrot turns each deal into a clear account of what happened: the buyer pain, the compelling event, the sales moments that mattered, and the evidence behind the outcome. You can move from a ranked signal to the exact deals behind it without digging through CRM fields, emails, and call notes. - See why the deal was won or lost in plain sales language. - Review the buyer pain, compelling event, customer profile, and key timeline moments. - Find the details your CRM fields miss, including the part of the deal you would not have guessed. - Use real deal evidence for coaching, forecast reviews, messaging, and product feedback. ### Research Trends URL: https://dataparrot.ai/product/research-trends See the themes customers repeat across deals so your team can act on praise, friction, and requests without combing through every conversation. Data Parrot reads calls, emails, and meeting notes across your pipeline and pulls out the patterns. What customers love, what keeps creating friction, and what they keep asking for. One report instead of a hundred conversations. Features: - Positive feedback trends - Negative feedback trends - Top customer requests - Pipeline, owner, and date-range filtering - Auto-generated weekly reports - On-demand reports with PDF export #### See what customers love about your product and process. Data Parrot reads every conversation across your pipeline and finds the themes driving deal momentum. What messaging is landing, what parts of the product get customers excited, which buying experiences keep earning strong responses. Ranked by frequency, grounded in real quotes. #### Know what keeps killing deals before it spreads. Budget objections, integration fears, competitor pressure, slow legal. Data Parrot finds the negative patterns showing up across your deals and tells you which ones are costing the most pipeline. Fix the blockers you can control. Prepare for the ones you can't. #### Hear what customers keep asking for. Feature requests, integration needs, pricing questions, implementation asks. Pulled straight from what buyers are saying in calls and emails, ranked by how often they come up. Hand it to product or bring it to your next leadership review. #### Runs every week. Generate one any time. A weekly report generates automatically so your team always has a current read. Need to study one pipeline, one rep's deals, or one quarter? Create a report on demand with the filters you want. Save it, export it as PDF, share it with anyone. ### Briefs & Alerts URL: https://dataparrot.ai/product/briefs Generate executive-ready briefs and deliver high-signal sales updates by email and Slack. Connect HubSpot and Data Parrot automatically sends the deal movement you need to act on: at-risk deals, trending down deals, wins, losses, and team activity. No report building. No dashboard hunting. Features: - Daily and weekly AI-generated briefs - AI summary, deal updates, pipeline status, wins and losses, team activity - Research trends and industry insights - Delivery to email and Slack - Configurable cadence and alert routing #### Start the day with the deals that need attention. Data Parrot checks the latest HubSpot movement and sends the deals most likely to impact your forecast: at-risk deals, slipping deals, key wins and losses, and the activity behind them. - At-risk deals and deals trending down surfaced while there is still time to save them. - Wins, losses, and activity summarized without asking RevOps or managers for another report. - Personalized to exactly what you and your team need to focus on, down to pipeline, stage, and owner. #### See why your pipeline grew or shrank this week. Every week, Data Parrot reveals what happened across your pipeline, which deals drove the change, and where sales leaders need to focus next week. - Know whether your pipeline grew or shrank, and drill into exactly what drove the change right down to the individual deals. - Catch deal amount changes, reopened deals, wins, losses, and slipping deals without exporting HubSpot data. - Plan next week from the deals and pipeline changes that actually moved the number. #### Get it in Slack. The full brief, delivered as a Slack message. Same personalized headline, same content, same priority as the email. - Full brief, delivered in Slack. - Personalized by pipeline, owner, and stage, same as the email. - Built for teams that run their day in Slack. #### Personalized by pipeline, owner, and stage. Each user picks the pipelines, deal owners, and stages they care about. The brief shows up scoped to exactly that, so reps see their own deals, managers see their team, and the CRO sees the whole company. Open the Briefs page any time to drill into the same deals, adjust the filters, and share the update with the team. - Pipeline: APAC reps do not see EMEA. Enterprise reps do not see SMB. - Deal owner: reps see their own deals, managers see their team, the CRO sees everyone. - Stage: skip the part of the funnel you do not operate in. --- ## Pricing ### Starter Explore Data Parrot free $0/month (annual). - Daily and weekly briefs by email and Slack - Briefs page with AI summaries - HubSpot, Slack, and Fathom integrations ### Pro Full AI power for your team $96/month (annual). - Everything in Starter - Deal Health Agent on every deal - AI Forecast with scenarios and drilldown - Pipeline Time Machine - Activity Dashboard - Research Trends Agent - Win-Loss Agent - Customer Health Agent - Zoom and Aircall integrations ### Max Advanced AI for deep revenue insights. $200/month (annual). - Everything in Pro - Win-Loss Agent Max - [object Object] ### Enterprise For teams that want hands-on support Custom pricing. - Everything in Max - White-glove onboarding - Quarterly strategy reviews - Priority feature requests - Custom integrations - Enterprise SSO --- ## Integrations ### Fathom URL: https://dataparrot.ai/integrations/fathom Availability: Available Now Fathom Transcripts Power Your AI Sales Agents AI meeting assistant that records, transcribes, and summarizes your meetings so you can focus on the conversation. Features: - Fathom transcripts in Deal Health scoring - Conversation patterns in Win-Loss analysis - Customer sentiment in Health scores - Automatic meeting association - Connect once and it just works - Zero maintenance required Benefits: - Know what's really happening in your deals - Stop guessing why deals won or lost - Catch at-risk accounts before they churn - Just connect Fathom and you're done #### Deal Health Powered by Fathom Transcripts Your Deal Health scores now reflect what actually happened in your Fathom recordings. When a deal is flagged at risk, you'll know if the champion went quiet or if the buyer raised a new objection in the last meeting. - Deal scores grounded in real Fathom conversations - Know why a deal is at risk without re-listening - Spot stalled deals from meeting patterns #### Win-Loss Analysis From Fathom Recordings The Win-Loss agent analyzes your Fathom transcripts to understand what actually happened in winning and losing deals. See what objections killed deals and what conversations closed them. - Discover what gets said in winning deals - Identify objections that lead to losses - Find conversation patterns across outcomes #### Customer Health From Meeting Context The Customer Health agent uses your Fathom meeting history to understand the full story of each customer relationship. Spot accounts going cold and catch churn risks before they escalate. - Understand customer sentiment from Fathom transcripts - Catch accounts going cold early - See the complete picture of customer engagement #### Forecasts Informed by Conversation Reality AI Forecasting gets smarter when it knows what's actually being said in your Fathom meetings. Forecast confidence improves when the AI understands deal momentum from real conversations. - Forecasts based on conversation signals - Get a better read on which deals will actually close - See fewer forecast surprises from hidden deal issues ### HubSpot URL: https://dataparrot.ai/integrations/hubspot Availability: Available Now Add AI Intelligence to your HubSpot CRM CRM and marketing automation platform for managing contacts, deals, and sales processes. Features: - Deal Health AI Agent - AI Sales Forecasting - Pipeline Inspection - Research Trends AI Agent - Sales Activity AI Agent - Win-Loss AI Agent Benefits: - See which HubSpot deals need attention before they slip - Get accurate forecasts without the manual work - Track how your pipeline changes over time - Know what your team is actually doing in HubSpot - Learn why you win and lose deals - Make decisions with data, not gut feelings #### Improve Forecast Accuracy Improve forecast accuracy for your HubSpot pipeline. Know what will actually close and what is at risk. - Forecast with confidence instead of hope - Reduce the time it takes to create a confident forecast - Build dynamic scenarios that adapt to your business - Make decisions based on data, not opinions #### Deal Health AI Agent The Deal Health Agent scores every sales deal in your HubSpot pipeline automatically. No rules to set up or maintain. See which deals are strong, which are at risk, and exactly why. - Get the true, unbiased health score for every deal - Spot deals going sideways before they slip - Stop being surprised by lost deals - Coach reps on specific deal risks #### Inspect Your Pipeline Connecting HubSpot to Data Parrot reveals what is growing your pipeline, what is shrinking it, and what isn't moving at all. - Easily track full pipeline history with no data warehouse required - Track pipeline behavior over time - Drill in and see the individual deals impacting your pipeline - Slice and dice by pipeline, stage, team, and more #### Sales Activity AI Agent The Sales Activity Agent tracks your sales team engagements in a single interactive dashboard. Filter by team, rep, date range, and more. - See your calls, meetings, and emails in a single interactive dashboard - Filter by outcome, team, rep, date range, and more with no separate reports required - AI automatically recognizes duplicate meetings - Track your team's activity over time to spot trends #### Win-Loss AI Agent The Win-Loss Agent analyzes your closed HubSpot deals to show what drives wins and causes losses. Learn from every outcome. - Understand why you're winning and losing deals - Stop repeating the same losing patterns - Improve your sales process with data - Get direct, actionable insights #### Research Trends AI Agent The Research Trends Agent discovers hidden trends in your HubSpot data that impact revenue. See what's driving your pipeline and what's causing deals to slip. - Reveal positive themes across your HubSpot deals that drive momentum - Surface negative patterns that trigger deal slippage and losses - Uncover top customer requests for product, pricing, and more - Run on autopilot once HubSpot is connected ### Slack URL: https://dataparrot.ai/integrations/slack Availability: Available Now Personal AI Sales Notifications Delivered in Slack Team communication platform with channels, direct messaging, and workflow integrations. Features: - Summarized executive-style briefs on the most important pipeline changes - Catch deals that are going sideways before it's too late - Daily and weekly Slack DM notifications - Filter by pipeline, stage, owner, and more - Automated trend discovery reports - Proactive notifications of deal wins, losses, and why Benefits: - Stay informed without opening another dashboard - Get personalized updates for only the deals that matter - Receive AI analysis of what changes mean - Discover trends automatically each week - Start each day with actionable insights - Never miss a deal that needs attention #### Daily Sales Brief Get your personalized daily sales brief delivered via Slack DM. AI analyzes deal changes and highlights the five most important updates you need to know. - Start each day knowing exactly what changed - Focus on deals that actually moved or became stuck - Get AI analysis of why changes matter - Never miss critical deal updates #### Personalized Deal Filters Configure notifications for your specific pipelines, stages, and deal owners. Only see updates for the deals you care about and nothing else. - Filter by your pipelines only - Focus on specific deal stages - Track your team's deals exclusively - Eliminate notification noise #### Weekly Pipeline Summary A comprehensive weekly summary shows how your pipeline evolved. See pipeline changes from start to end of week plus AI-discovered trends. - Understand week-over-week pipeline movement - See the complete picture of pipeline health - Highlight the key changes that drove pipeline movement - Get context for leadership discussions #### AI Trend Discovery Weekly notifications include automatically generated trend reports. AI surfaces positive patterns, negative signals, and product feedback from your deals. - Discover patterns you'd miss manually - See what's accelerating deals forward - Identify friction points in the sales process - Capture product feedback automatically #### Key Deal Changes Track critical changes like amount adjustments, stage movements, and close date shifts. AI explains the impact of each change on deal health. - Know when deal amounts increase or decrease - Track stage progression and regression - Monitor close date changes - Understand the business impact immediately #### Activity Impact Analysis See yesterday's calls, meetings, and emails with AI analysis of their impact. Understand which activities moved deals forward and which didn't. - Connect activities to deal progress - See which engagements had impact - Learn from successful interactions - Coach based on activity effectiveness ### Zoom URL: https://dataparrot.ai/integrations/zoom Availability: Available Now Give Your AI Agents Context From Your Zoom Meetings Collaboration platform for video meetings, team chat, VoIP phone, webinars, whiteboard, and events. Features: - Zoom transcripts in Deal Health scoring - Meeting patterns in Win-Loss analysis - Customer sentiment tracking - Automatic meeting association - Connect once and it just works - Nothing to configure or maintain Benefits: - Understand the reality of your deals - Learn from wins and losses automatically - Spot at-risk accounts early - Just connect Zoom and you're done #### Deal Health Informed by Zoom Meetings Deal Health scores now include context from your Zoom recordings. When a deal gets flagged, you'll understand if it's because of something said in a recent Zoom meeting or if engagement dropped off. - Deal scores that reflect Zoom conversation reality - Understand deal risks without rewatching recordings - Catch deals going sideways from meeting signals #### Win-Loss Insights From Zoom Recordings The Win-Loss agent studies your Zoom meeting transcripts to learn what separates won deals from lost ones. Understand the conversations that close deals and the ones that don't. - Learn what top performers say differently on Zoom - See which objections derail deals - Understand patterns in closed-won versus closed-lost #### Customer Health With Zoom Context The Customer Health agent analyzes your Zoom meeting history to gauge relationship strength. Know how customers actually feel based on what they say in your Zoom calls. - Customer sentiment from real Zoom conversations - Early warning when accounts go quiet - Get the full picture of customer relationship health #### Smarter Forecasts From Meeting Signals AI Forecasting improves when it can read the signals from your Zoom meetings. The forecast agent understands deal momentum better when it knows what's actually happening in customer conversations. - Forecast confidence backed by Zoom meeting data - Spot deals that look good but aren't - See fewer end-of-quarter surprises ### Apollo.io URL: https://dataparrot.ai/integrations/apollo-ai Availability: Coming Soon Enhance Prospecting Data with AI Sales Intelligence Sales intelligence and engagement platform for prospecting and outreach. ### Google Docs URL: https://dataparrot.ai/integrations/google-docs Availability: Coming Soon AI Sales Intelligence Meets Document Collaboration Cloud-based document creation and collaboration platform. ### Microsoft Teams URL: https://dataparrot.ai/integrations/microsoft-teams Availability: Coming Soon AI-Powered Sales Updates Delivered to Teams Chat Microsoft's collaboration platform combining workplace chat, meetings, file storage, and application integration. Features: - Executive-level deal summaries highlighting critical changes - Early warning system for at-risk opportunities - Daily and weekly Teams chat notifications - Configurable filters for pipeline, stage, and owner - AI-generated pattern analysis reports - Automated win-loss insights and explanations Benefits: - Access insights without switching applications - Receive relevant updates for your specific deals - Get AI explanations of change significance - Identify revenue patterns automatically - Begin each day with clear priorities - Catch at-risk deals before they slip #### Morning Deal Digest Receive a personalized morning digest in Teams chat. AI identifies and analyzes the most critical deal movements requiring your attention today. - Begin your day with clarity on deal status - Prioritize deals requiring immediate action - Understand the impact of overnight changes - Stay ahead of potential deal risks #### Custom Pipeline Monitoring Set up monitoring for specific pipelines, deal stages, and owners. Receive targeted updates about deals matching your exact criteria. - Monitor only relevant pipelines - Track specific stage transitions - Follow your team's opportunities - Reduce information overload #### Weekly Executive Brief Get a comprehensive weekly analysis of pipeline dynamics. Review complete pipeline progression with AI-identified patterns and trends. - Track weekly pipeline progression - Visualize pipeline health trends - Understand the drivers behind pipeline shifts - Prepare for executive reviews #### Pattern Recognition Alerts AI automatically detects and reports emerging patterns weekly. Receive insights on deal accelerators, blockers, and customer feedback themes. - Uncover hidden revenue patterns - Identify common deal accelerators - Spot recurring obstacles early - Collect product insights automatically #### Deal Movement Tracking Monitor significant deal changes including value adjustments, stage transitions, and timeline shifts. AI provides context on each change's significance. - Track deal value fluctuations - Monitor progression through stages - Watch for close date movements - Receive impact analysis instantly #### Engagement Effectiveness Review the previous day's customer interactions with AI assessment of their effectiveness. Learn which activities advance deals and which don't. - Link activities to outcomes - Identify high-impact engagements - Replicate successful approaches - Improve coaching effectiveness ### Notion URL: https://dataparrot.ai/integrations/notion Availability: Coming Soon Connect Your Sales Knowledge Base with AI Intelligence All-in-one workspace for notes, docs, and collaboration. ### Office 365 URL: https://dataparrot.ai/integrations/office-365 Availability: Coming Soon Enterprise Sales Intelligence in Microsoft Office Microsoft's cloud-based productivity suite including Word, Excel, PowerPoint, and Outlook. ### Salesforce URL: https://dataparrot.ai/integrations/salesforce Availability: Coming Soon Bring AI Intelligence to Your Salesforce CRM Salesforce provides applications focused on sales, customer service, marketing automation, e-commerce, analytics, artificial intelligence, and application development. Features: - Deal Health AI Agent - AI Sales Forecasting - Pipeline Inspection - Research Trends AI Agent - Sales Activity AI Agent - Win-Loss AI Agent Benefits: - Identify Salesforce opportunities that need immediate focus - Build accurate forecasts without manual analysis - Monitor pipeline changes and take action - Understand actual team activity and performance - Discover what drives wins in your sales process - Replace opinions with AI-driven insights #### Forecast With Confidence Get AI-driven forecasts for your Salesforce opportunities. See what will close this quarter and identify opportunities that need immediate attention. - Increase forecast accuracy with AI analysis of your opportunities - Cut the hours spent digging through data to find the truth - Use the dynamic forecast to evaluate various scenarios - Base decisions on facts instead of gut feelings #### Deal Health AI Agent The Deal Health Agent scores every opportunity in Salesforce automatically. Zero configuration is needed. Understand deal strength, risk factors, and next best actions instantly. - See unbiased AI health scores for all opportunities - Identify at-risk deals before it's too late - Focus on the deals that need attention - Enable targeted coaching for each deal #### Pipeline Inspection Data Parrot analyzes your Salesforce sales pipelines to show what's growing, shrinking, and stalling. Get complete visibility into pipeline behavior automatically. - Monitor pipeline changes without complex reports - Understand pipeline movement patterns - See which opportunities impacted your pipeline - Segment by pipeline, stage, team, and more #### Sales Activity AI Agent The Sales Activity Agent shows your team's Salesforce activities in a single view. Track calls, meetings, and emails with instant filtering, sorting, and trends. - View all activities in one unified dashboard - Segment by result, rep, team, and time period instantly - AI identifies and removes duplicate meetings - View by day, week, or month to spot trends #### Win-Loss AI Agent The Win-Loss Agent analyzes your Salesforce wins and losses to understand what really moves deals forward. Turn every outcome into a learning opportunity. - Learn what drives successful deals - Identify patterns in lost opportunities - Build a better sales strategy with data - Get specific, actionable analysis of your won and lost deals #### Research Trends AI Agent The Research Trends Agent analyzes your Salesforce data to reveal patterns affecting revenue. Understand what accelerates deals and what causes friction in your sales process. - Identify positive signals that accelerate deals - Spot warning signs that cause delays and losses - Capture key product feedback, pricing issues, and more from customers - Run autonomously once Salesforce is connected --- ## Answers ### What is AI deal health? URL: https://dataparrot.ai/answers/what-is-ai-deal-health AI deal health is a current view of whether a deal is strong, weak, or slipping. Data Parrot scores deal health from CRM activity, emails, calls, meetings, deal progression, purchase intent, and engagement signals, then shows the reason behind the score so revenue teams can decide where to focus. #### What does AI deal health show? AI deal health works best when it explains the deal, not just labels it. In Data Parrot, Deal Health includes health status, progress status, purchase intent, chance of winning, why the team may win or lose, recent change context, and suggested next actions. - Which deals look strong, weak, or stalled - Why the score changed - What signals are driving risk or momentum - Which deals need manager attention before the forecast meeting #### Who uses AI deal health? CEOs, VP Sales, CROs, sales managers, and RevOps use AI deal health when the CRM record does not give enough context. They get a more objective view of deal quality before a review, forecast call, or coaching conversation. #### How is AI deal health different from CRM probability? CRM probability often depends on stage rules or manual rep updates. AI deal health analyzes the activity around the deal and explains the score with supporting signals. The score is useful because the team can see the evidence behind it. #### FAQ ##### What signals affect AI deal health? Data Parrot uses deal progression, buyer engagement, CRM activity, meetings, emails, calls, purchase intent, chance of winning, and recent changes to produce deal health signals. ##### What can change AI deal health? Activity, engagement, stage movement, meetings, emails, calls, and new deal context can all affect the deal health signals Data Parrot surfaces. ##### Can AI deal health help with coaching? Yes. Deal Health gives managers the score, reasoning, and next-best actions they need to focus coaching on the deals that need attention. ### How do you identify at-risk deals in HubSpot? URL: https://dataparrot.ai/answers/how-to-identify-at-risk-deals-in-hubspot You identify at-risk deals in HubSpot by looking for deals where activity slows down, engagement weakens, stage movement stalls, close dates start to slip, or the CRM record looks stronger than the buyer behavior. Data Parrot connects to HubSpot and surfaces those weaker deals with health scores, status, signal reasoning, and next actions. #### What are the warning signs of an at-risk HubSpot deal? The warning signs usually appear before the forecast changes. Data Parrot looks at the deal record and the activity around it so managers can see where the risk is coming from. - Recent activity has slowed down - Buyer engagement is weaker than expected - The deal has stalled in its current stage - The close date or amount no longer matches deal behavior - The reason to win or lose is becoming clearer #### How does Data Parrot help HubSpot teams review risk? Data Parrot analyzes connected HubSpot deal and activity data to show which deals look weaker than the record suggests. Revenue teams can review at-risk deals directly from the deal context instead of building manual scoring workflows. #### When does RevOps use this? RevOps uses at-risk deal views when forecast meetings depend on deal quality rather than stage totals. A HubSpot pipeline can look healthy by amount while several important deals are losing momentum. #### FAQ ##### Can HubSpot show deal risk by itself? HubSpot stores the deal record and activity. Data Parrot analyzes that activity and turns it into deal health status, reasoning, and next actions for revenue teams. ##### What causes HubSpot deals to become at risk? Deals often become at risk when activity slows, buyer engagement weakens, progression stalls, or the expected close path no longer matches the latest activity. ##### Where do teams start? Start with the deals that have high value, weak recent activity, slipping close dates, or a low health score. Those are the deals most likely to need review before the next forecast call. ### What is AI pipeline inspection? URL: https://dataparrot.ai/answers/what-is-ai-pipeline-inspection AI pipeline inspection is a way to review how pipeline changed over time and which deals caused the movement. Data Parrot compares pipeline snapshots, shows what entered, exited, moved, or stalled, and lets teams drill into the deals behind the change. #### What does pipeline inspection answer? Pipeline inspection answers the first question revenue leaders ask in a review: did the pipeline get stronger or weaker, and why? Data Parrot shows the start value, end value, net change, categories of movement, and the specific deals behind each change. #### What do VP Sales and RevOps look for? VP Sales and RevOps look for movement signals that explain coverage quality, not just pipeline size. A growing pipeline can still hide stalled late-stage deals, weak stage velocity, or coverage that depends on low-health deals. - New deals entering the pipeline - Deals leaving because they closed or were lost - Amount changes that inflate or shrink coverage - Stage movement and bottlenecks - Deals behind each aggregate number #### How does Data Parrot support pipeline inspection? Data Parrot compares pipeline across selected time periods and ties pipeline movement back to specific deals. Teams can inspect the aggregate change and then open the deal-level view that explains it. #### FAQ ##### Is pipeline inspection the same as a pipeline dashboard? No. A dashboard shows current numbers. Pipeline inspection explains movement across time and connects those changes to the deals that caused them. ##### Can pipeline inspection help with forecast reviews? Yes. Pipeline inspection helps teams see whether coverage is improving or weakening before they rely on the forecast number. ##### What data does Data Parrot show for pipeline changes? Data Parrot shows point-in-time pipeline comparisons, deal movement across stages, historical change context, stage velocity, bottlenecks, and drilldowns to the deals behind each change. ### What is AI sales forecasting? URL: https://dataparrot.ai/answers/what-is-ai-sales-forecasting AI sales forecasting uses deal health, pipeline behavior, risk signals, and deal movement to help revenue teams understand forecast quality. Data Parrot breaks forecast dollars down by the deals behind them so leaders can see what looks strong, what is at risk, and where to investigate first. #### What does AI sales forecasting show? AI sales forecasting gives revenue leaders more than a total number. Data Parrot shows an executive view of the quarter, deal-level forecast drilldown, health and intent breakdowns, pipeline filters, and the deals that explain forecast risk. #### Why does forecast quality matter in HubSpot? A HubSpot forecast can look fine by total amount while the quality of the underlying deals is weak. Data Parrot gives HubSpot teams a way to review whether forecast coverage is supported by strong deal health, real progression, and buyer activity. #### How does Data Parrot help forecast reviews? Data Parrot organizes forecast views around deal health, status, intent, pipeline, owner, and time. Leaders can start with the forecast number, then drill into the deals that explain whether the number deserves trust or challenge. - Deal-level forecast drilldown - Health, status, and intent breakdowns - Pipeline, stage, and owner filtering - Forecasts tied back to the deals that explain the number #### FAQ ##### Is AI sales forecasting only for large revenue teams? No. AI sales forecasting is useful whenever a team needs to review forecast quality, inspect deal risk, and understand the deals behind the forecast number. ##### How does Data Parrot improve forecast reviews? Data Parrot ties forecast views to deal health, risk, progression, and deal-level evidence so leaders can review the quality of the forecast instead of only the total amount. ##### Does Data Parrot work with HubSpot forecasting workflows? Data Parrot connects with HubSpot and adds AI deal health, sales forecasting, and pipeline inspection surfaces for teams that run revenue reviews from HubSpot data. ### What causes deals to slip? URL: https://dataparrot.ai/answers/what-causes-deals-to-slip Deals usually slip because the close date is more hopeful than real. Common causes include weak buyer engagement, no clear next step, delayed approvals, stalled stage movement, missing decision criteria, or a CRM record that has not caught up with what is happening in the deal. #### What are the most common slip signals? Most slipping deals show warning signs before the date changes. The risk is easier to catch when managers review the activity around the deal instead of only checking the stage and amount. - No recent buyer response - Meetings keep moving or disappearing - The deal stays in the same stage too long - The next step is vague or owned only by the seller - Legal, finance, security, or procurement timing is unknown #### Why does deal slippage hurt the forecast? A slipped deal can make the current period look stronger than it is. If several deals slip late, the forecast misses even when total pipeline looked healthy earlier in the month or quarter. #### How do managers respond? Managers ask what changed, what buyer action proves the date is still possible, and what has to happen before close. If the answers are weak, they challenge the close date or forecast category. #### FAQ ##### Is deal slippage always bad? No. Some deals slip for valid buyer reasons. The problem is unmanaged slippage, where the team does not see the risk until the period is almost over. ##### What is the fastest way to find slipping deals? Look for deals with near-term close dates, weak recent activity, stalled stages, or no confirmed buyer next step. ##### Can deal health help with slippage? Yes. Deal health can help managers compare the CRM record with the activity and engagement around the deal. ### How do you improve forecast accuracy in HubSpot? URL: https://dataparrot.ai/answers/how-to-improve-forecast-accuracy-in-hubspot To improve forecast accuracy in HubSpot, keep close dates current, challenge stage and forecast category assumptions, remove stale deals from near-term views, and review each important deal against buyer activity. The forecast needs to reflect deal reality, not just CRM fields. #### What do teams check first? Start with the fields and behaviors that most often create forecast drift. These checks point managers to the deals that need questions before the forecast meeting. - Close dates inside the current period with no recent activity - Late-stage deals without a confirmed buyer next step - Commit or best-case deals with weak engagement - Large amount changes near the end of the period - Deals sitting in one stage longer than normal #### How does buyer activity improve the forecast? A forecast call is stronger when every important deal is tied to buyer behavior. Replies, meetings, stage movement, decision timing, and next steps give managers a better way to test whether a number belongs in the forecast. #### Where can Data Parrot fit? Data Parrot connects with HubSpot and helps revenue teams review deal health, forecast quality, and pipeline movement from the deals behind the forecast number. #### FAQ ##### Can HubSpot forecast accuracy improve without changing sales process? Yes, but process still matters. Better reviews, cleaner close dates, and more consistent category updates can improve accuracy before a team makes larger process changes. ##### What is the biggest HubSpot forecast risk? A common risk is trusting stage, amount, and close date without checking whether buyer activity supports them. ##### How often do managers inspect forecast risk? Managers inspect risk before forecast calls and whenever large deals move, stall, or change close dates. ### How do you know if a close date is realistic in HubSpot? URL: https://dataparrot.ai/answers/how-to-know-if-a-close-date-is-realistic-in-hubspot A close date is realistic in HubSpot when the buyer has taken recent action, the deal stage matches the work left, decision and approval timing are known, and the next step is clear. If the date is near but the buyer has gone quiet or the remaining steps are vague, question the close date. #### What evidence supports a close date? The date needs to match what the buyer has done and what still has to happen. A manager needs a clear reason to believe the deal can close by that date. - Recent buyer replies or meetings - A confirmed next step with buyer ownership - Known legal, procurement, security, or finance timing - Stage progress that fits the remaining sales motion - No unresolved blocker that would push the date #### What makes a close date weak? A close date is weak when it has been copied forward, set to the end of the month by default, or left unchanged after the deal slowed down. The risk is higher when the close date is near and recent activity is thin. #### How do HubSpot teams review it? Review near-term close dates by deal amount, stage, activity, and last meaningful buyer touch. The best question is simple: what buyer action proves this date is still possible? #### FAQ ##### Should every HubSpot deal have a close date? Yes, but the date needs regular review. A filled close date is less useful if it is stale or unsupported by buyer activity. ##### Why do close dates become unreliable? They become unreliable when reps set hopeful dates, buyers delay decisions, stages stop moving, or teams do not update the CRM after deal conditions change. ##### Can Data Parrot help review close date risk? Data Parrot gives HubSpot teams deal health and forecast-quality context that can support close date review alongside CRM fields. ### What is close date confidence? URL: https://dataparrot.ai/answers/what-is-close-date-confidence Close date confidence is the level of trust that a deal can close by its current close date. It is high when buyer activity, decision timing, stage progress, and remaining steps support the date. It is low when the close date is near but the deal lacks evidence that it can finish on time. #### What affects close date confidence? Close date confidence depends on whether the deal has enough momentum and enough time left to complete the buying process. - Recent buyer engagement - Confirmed next steps - Known approval path - Stage progress compared with time left - Open blockers or unresolved questions #### How is it different from win probability? Win probability asks whether the deal is likely to close at all. Close date confidence asks whether it is likely to close by the current date. A deal can be strong but still have a weak close date. #### Why does it matter? Low close date confidence creates forecast risk. If enough deals have weak dates, the forecast can miss even when the underlying deals may still close later. #### FAQ ##### Is close date confidence a standard CRM field? Not always. Some teams review it manually, some use custom fields, and some use deal health or forecasting tools to assess date risk. ##### What is a good close date confidence question? Ask what buyer action proves the deal can close by the current date. ##### Should close date confidence change over time? Yes. Confidence changes as buyer activity, remaining steps, blockers, and decision timing change. ### What is deal stage confidence? URL: https://dataparrot.ai/answers/what-is-deal-stage-confidence Deal stage confidence is the level of trust that a deal belongs in its current stage. It is high when buyer actions, qualification, decision progress, and next steps match the stage definition. It is low when the CRM stage looks ahead of what the buyer has actually done. #### What makes a stage believable? A believable stage has buyer progress behind it. The seller needs to show what the buyer did that justifies the current stage. - The buyer has completed the stage criteria - Decision makers and blockers are understood - Next steps match the stage - Recent activity supports the claimed progress - The deal has not been parked in the stage too long #### Why does stage confidence affect forecasts? Many forecasts use stage, probability, or category to estimate expected revenue. If deals sit in stages that are too optimistic, the forecast can look stronger than the real pipeline. #### How do managers review stage confidence? Managers ask what changed since the last stage, what buyer action proves the current stage, and what is still missing. If the answers are weak, the deal may need a stage update or a deeper review. #### FAQ ##### Is deal stage confidence the same as deal health? No. Deal stage confidence focuses on whether the stage is accurate. Deal health is a broader read on deal strength, risk, and momentum. ##### What lowers deal stage confidence? Weak buyer activity, missing qualification, unclear next steps, long stage age, or a stage that moved without buyer evidence can lower confidence. ##### Can a late-stage deal have low stage confidence? Yes. A late-stage deal can look advanced in the CRM while still missing decision, approval, or buyer commitment evidence. ### HubSpot deal stage vs forecast category: what is the difference? URL: https://dataparrot.ai/answers/hubspot-deal-stage-vs-forecast-category In HubSpot, a deal stage describes where a deal sits in the sales process, such as qualification, proposal, negotiation, or closed won. A forecast category describes how the deal belongs in the forecast, such as pipeline, best case, commit, most likely, or not forecasted depending on the team's setup. Stage is process progress. Forecast category is forecast judgment. #### When do teams use deal stage? Use deal stage to track what has happened in the sales process and what work remains. Stage works best when it is based on clear criteria so reps and managers use it consistently. #### When do teams use forecast category? Use forecast category to decide how much confidence the team has in a deal for the current forecast period. Category needs to reflect buyer activity, close date confidence, buyer timing, and manager judgment. #### Why do teams need both? A deal can be in a late stage but still not belong in commit. Another deal can be earlier but have strong buyer momentum. Using both fields helps separate sales process progress from forecast confidence. #### FAQ ##### Should forecast category always follow deal stage? No. Stage can inform category, but forecast category also needs close date, buyer engagement, blockers, amount risk, and manager judgment. ##### Can a deal be late stage and not forecasted? Yes. If the close date is unrealistic or the buyer is not active, a late-stage deal may not belong in the current forecast. ##### How does this affect HubSpot forecasting? Forecasting is stronger when stage and category are both reviewed against buyer activity instead of treated as automatic outcomes. ### How do you forecast in HubSpot? URL: https://dataparrot.ai/answers/how-to-forecast-in-hubspot To forecast in HubSpot, keep deal amounts and close dates current, use deal stages consistently, assign forecast categories based on confidence, and review the deals behind the forecast total. The strongest forecasts combine CRM structure with manager judgment and current buyer evidence. #### What fields matter most? The core fields are deal amount, close date, deal stage, owner, pipeline, and forecast category if your team uses it. These fields only help when they are reviewed often and tied to real deal activity. #### What happens before a forecast call? Before a forecast call, managers inspect important deals for stale activity, stage risk, close date risk, amount changes, and missing next steps. - Confirm close dates for near-term deals - Challenge commit and best-case categories - Review large deals that changed amount or stage - Remove stale deals from current-period confidence - Check whether buyer activity supports the forecast #### Where can forecasting break down? Forecasting breaks down when the team treats CRM fields as proof. A deal can have a close date and a late stage while still lacking buyer action, approval timing, or a real path to close. #### FAQ ##### Is HubSpot forecasting the same as pipeline reporting? No. Pipeline reporting shows deal volume and value. Forecasting estimates what is likely to close in a period. ##### How do managers make a HubSpot forecast more reliable? They review the deals that explain the number and challenge close dates, stages, categories, and stale activity. ##### Can Data Parrot support HubSpot forecast reviews? Yes. Data Parrot connects with HubSpot and adds forecast, deal health, and pipeline inspection views for revenue teams. ### What is pipeline hygiene? URL: https://dataparrot.ai/answers/what-is-pipeline-hygiene Pipeline hygiene is the practice of keeping CRM deal records accurate, current, and useful. It includes clean close dates, correct stages, realistic amounts, active next steps, and removal or review of stale deals. Good hygiene helps managers trust pipeline reviews and forecasts. #### What does pipeline hygiene include? Pipeline hygiene is more than data cleanup. It is the operating habit of making sure the pipeline reflects what sellers and buyers are actually doing. - Current close dates - Accurate deal stages - Realistic deal amounts - Clear next steps - Stale deal review - Closed-lost cleanup when deals are no longer active #### Why does it matter? Poor pipeline hygiene makes the forecast harder to trust. It can hide risk, inflate coverage, waste manager review time, and create surprise misses late in the period. #### How often do teams review it? Teams review hygiene before forecast calls, pipeline reviews, and quarter-end planning. Managers pay special attention to large deals, near-term close dates, and deals with weak recent activity. #### FAQ ##### Is pipeline hygiene a RevOps task or a sales task? Both. RevOps can define the fields and reporting rules, but sales managers and reps need to keep deal records aligned with reality. ##### What is a stale deal? A stale deal has gone long enough without meaningful progress or activity that its current stage, close date, or forecast value deserves review. ##### Can pipeline hygiene improve forecast accuracy? Yes. Cleaner deal data gives managers a better starting point for forecast judgment. ### How do you find stale deals in HubSpot? URL: https://dataparrot.ai/answers/how-to-find-stale-deals-in-hubspot To find stale deals in HubSpot, filter for deals with old last activity, long time in stage, close dates inside the current period, no upcoming meeting, or no clear next step. Then review whether each deal is still active, needs a stage change, needs a new close date, or belongs in closed lost. #### Which stale deal filters help most? The best filters depend on your sales cycle, but most teams start with activity, stage age, and close date risk. - Last activity date is older than your normal follow-up window - Deal has been in the same stage longer than expected - Close date is near or past due - No upcoming meeting or buyer-owned next step - Amount is large enough to affect the forecast #### What do managers do with stale deals? Managers decide whether the deal is still active, needs a new next step, needs a new close date, belongs in a different stage, or needs to leave the active forecast. #### Why are stale deals dangerous? Stale deals can inflate pipeline coverage and make forecast calls noisy. They also distract managers from active deals that need real coaching or support. #### FAQ ##### How old does a deal have to be before it is stale? There is no universal number. A deal is stale when its inactivity is long enough to make the current stage, close date, or forecast category unreliable. ##### Should stale deals be deleted? Usually no. Teams update the deal, move it, close it lost if appropriate, or remove it from forecast confidence rather than deleting useful history. ##### Can Data Parrot help identify stale risk? Data Parrot gives HubSpot teams deal health and pipeline-movement context, which can make stale or stalled deals easier to inspect. ### What is a sales forecast brief? URL: https://dataparrot.ai/answers/what-is-a-sales-forecast-brief A sales forecast brief is a concise summary of the current forecast, why it changed, which deals matter most, what risks need attention, and what actions come next. It helps managers and leaders prepare for forecast calls without rebuilding the story from dashboards. #### What does a forecast brief include? A useful brief gives the answer first, then enough detail to know where to inspect. - Current forecast view - Important changes since the last review - Large deals that moved, slipped, or changed amount - At-risk deals that need manager attention - Open questions or actions for the team #### Who uses it? CEOs, VP Sales, CROs, sales managers, and RevOps use forecast briefs to prepare for forecast reviews, board updates, and team coaching conversations. #### How is it different from a dashboard? A dashboard shows the numbers. A forecast brief explains the changes, risks, and next actions in plain language so the team can move from review to decision faster. #### FAQ ##### Is a forecast brief a forecast report? It can include report data, but it is shorter and more decision-focused than a full report. ##### How long is a useful sales forecast brief? It needs to be short enough to review before a meeting and specific enough to point managers to the deals that need review. ##### Where does Data Parrot fit? Data Parrot includes Briefs and Sales Forecasting surfaces that help teams review forecast context and deal-level risk. ### What is a pipeline inspection report? URL: https://dataparrot.ai/answers/what-is-a-pipeline-inspection-report A pipeline inspection report shows how pipeline changed over a period and which deals caused the movement. It explains what entered, left, advanced, stalled, changed amount, or slipped so managers can understand pipeline quality instead of only total value. #### What does the report answer? The report makes pipeline movement easy to inspect. It helps a leader see whether pipeline quality improved or weakened and where to look next. - How much pipeline changed - Which deals entered or left - Which deals moved stages - Which deals changed amount or close date - Where stage velocity or stale deal risk appeared #### How is it different from a pipeline dashboard? A dashboard often shows the current pipeline. A pipeline inspection report focuses on change over time and the deal-level reasons behind that change. #### How does Data Parrot support this workflow? Data Parrot's Pipeline Inspection surface compares pipeline across selected time periods and connects aggregate movement back to specific deals. #### FAQ ##### Who needs a pipeline inspection report? CEOs, VP Sales, CROs, sales managers, and RevOps use it when they need to understand pipeline movement before forecast or operating reviews. ##### What makes a pipeline inspection report useful? It is useful when it shows both the total change and the deals responsible for that change. ##### Can pipeline inspection help with coaching? Yes. Managers can use it to find stalled stages, slipped deals, and deals that need better next steps. ### What is deal slippage? URL: https://dataparrot.ai/answers/what-is-deal-slippage Deal slippage happens when a deal does not close by its expected close date and moves into a later period. It usually means the timing was wrong, buyer progress slowed, approvals took longer than expected, or the team did not catch risk early enough. #### What causes deal slippage? Deal slippage has many causes, but the issue is usually a gap between forecast timing and buyer reality. - Buyer response slows down - Decision makers are not aligned - Procurement, legal, security, or finance takes longer - The next step is not confirmed - The deal was forecast too confidently #### Why does slippage matter? Slippage moves revenue out of the expected period. It can create missed forecasts, weak board reporting, and rushed end-of-period deal reviews. #### How can teams reduce slippage? Teams can reduce slippage by reviewing close date confidence, checking buyer activity, challenging forecast categories, and finding stalled deals before the period ends. #### FAQ ##### Is deal slippage the same as losing a deal? No. A slipped deal may still close later. The issue is that it did not close when the forecast expected it to close. ##### What is a slipped deal in HubSpot? In HubSpot, a slipped deal is usually a deal whose close date moves out of the expected period or becomes past due without closing. ##### What do managers inspect when a deal slips? Managers inspect what changed, whether the buyer is still active, what steps remain, and whether the new close date is realistic. ### How do sales managers review open pipeline? URL: https://dataparrot.ai/answers/how-sales-managers-review-open-pipeline Sales managers review open pipeline by checking whether each important deal is real, current, and likely to move. They inspect stage accuracy, close date confidence, buyer activity, next steps, amount changes, and stale deal risk before deciding where to coach or challenge the forecast. #### What do managers inspect first? Managers start with deals that can change the forecast or need action soon. That keeps review time focused where judgment matters. - Large deals in the current period - Commit or best-case deals with weak activity - Deals with near-term or past-due close dates - Deals stalled in stage - Deals with no clear buyer-owned next step #### What questions do managers ask? Good pipeline reviews test buyer activity. Managers ask what changed since the last review, what must happen next, what could block the deal, and whether the current forecast treatment still makes sense. #### How can Data Parrot help? Data Parrot gives managers deal health, sales forecasting, and pipeline inspection surfaces that help them review risk from the deals behind the pipeline. #### FAQ ##### How often do managers review open pipeline? Most teams review it weekly and inspect high-risk or high-value deals more often near forecast deadlines. ##### What is the difference between pipeline review and forecast review? Pipeline review looks at active deal quality and movement. Forecast review focuses on what is expected to close in a specific period. ##### What makes a pipeline review useful? A useful review leads to a decision: coach the deal, update the CRM, challenge the forecast, or remove stale pipeline from active focus. ### What is CRM forecast accuracy? URL: https://dataparrot.ai/answers/what-is-crm-forecast-accuracy CRM forecast accuracy measures how close the forecast in a CRM is to actual closed revenue for a period. A forecast is more accurate when deal stages, close dates, forecast categories, amounts, and manager judgment match what actually happens. #### What affects CRM forecast accuracy? Forecast accuracy depends on both data quality and judgment. Clean fields help, but managers still need to inspect whether buyer activity supports the forecast. - Close date quality - Stage accuracy - Forecast category discipline - Deal amount changes - Stale deal cleanup - Buyer activity and next steps #### Why do CRM forecasts miss? CRM forecasts miss when the system records hopeful deal data and the review process does not challenge it. Common causes include slipped deals, stale pipeline, overconfident categories, and missing buyer evidence. #### How can teams improve it? Teams can improve CRM forecast accuracy by inspecting important deals before forecast calls, reviewing changes over time, and keeping forecast categories tied to evidence instead of habit. #### FAQ ##### Is forecast accuracy only a RevOps metric? No. RevOps can measure it, but sales leaders and managers affect accuracy through deal reviews and forecast judgment. ##### Does a clean CRM guarantee forecast accuracy? No. Clean data helps, but teams still need to review buyer activity, deal risk, and timing. ##### How does Data Parrot relate to CRM forecast accuracy? Data Parrot gives revenue teams a way to review deal health, forecast quality, and pipeline movement from CRM-connected deal data. --- ## Documentation ### Data Parrot Docs URL: https://dataparrot.ai/docs Data Parrot is an AI-powered revenue intelligence platform with sales analytics tools, predictive sales analytics, sales coaching software, and pipeline inspection. Revenue Operating Docs Data Parrot helps revenue teams understand deal health, pipeline movement, and forecast risk from the CRM data they already trust. Data Parrot is an AI-powered revenue intelligence platform that connects to your CRM and helps teams understand pipeline health, forecast posture, and deal momentum. ## Get Oriented Start with these pages if you are new to the product or need to get a workspace live. ## Explore the App These pages cover the main product surfaces teams use day to day. ## Best Practices Use these guides to get more from the product once the workspace is running. ## Workspace Settings Manage users, billing, and account settings from the workspace control surface. ### Get Help URL: https://dataparrot.ai/docs/support Contact Data Parrot support for product questions, account help, integration issues, or feedback. Use this page when you need help with your Data Parrot account, a product workflow, an integration, or anything in the docs. ## Direct Email If email is easier, reach us at support@dataparrot.ai. ## What to Include - The workspace or company you are using - The Data Parrot page or HubSpot screen where the issue happened - What you expected to happen - What happened instead - Any screenshots, error messages, or example deals that help explain the issue ### Activity Dashboard URL: https://dataparrot.ai/docs/features/activity-dashboard Track sales team activity with real-time metrics. Monitor meetings, calls, emails, and activity patterns to optimize sales productivity and coaching decisions. The Activity Dashboard displays meetings, calls, emails, deals, and leads in a single dashboard so you can see all team activity in one place. Activity Dashboard is available for Data Parrot Pro and Max customers. ## Filters Choose the activity range, owners, associations, and pipelines to focus on the data that matters. - **Activity Range**: Yesterday, This Week, This Month, or a custom date range - **Owners**: Filter by one or more team members - **Associations**: Toggle between Deal and Contact associations - **Pipelines**: Filter by one or more pipelines ## Owner Activity Matrix The matrix shows each team member as a row, with columns grouped by Deals, Meetings, Calls, and Emails. A heatmap overlay highlights activity intensity so you can spot patterns at a glance. Use the controls at the top right to: - **Heatmap**: Toggle the heatmap overlay on or off - **Columns**: Show or hide specific columns (14/19 visible by default) - **Add Custom Column**: Create custom metric columns - **Export**: Download the data as CSV ## Charts Below the matrix, time-series charts show activity trends for Calls, Meetings, Emails, and Deals. You can customize the view and add more charts. - **Time grouping**: Day, Week, or Month - **Chart type**: Line, Bar, or Cumulative - **Add Chart**: Add additional metric charts - **Add Table**: Add a detail table below the charts ## Engagement Details At the bottom of the page, the Engagements table shows the individual engagement records that match your filters. Click any engagement title to open it in HubSpot. ## Tips - **Heatmap for quick scans**: Turn on the heatmap to instantly see who's most active and where gaps exist. - **Not just sales**: The Activity Dashboard tracks all HubSpot engagements, not just sales. use it across your organization. - **Custom columns**: Add custom columns for metrics specific to your team's workflow. - **Export**: Download the data as CSV for further analysis or reporting. ## Next Steps - AI Forecast. Forecast with AI-driven pipeline signals. - Deals. Monitor deal health and progress. - Briefs. Get daily and weekly AI sales briefs. ### AI Forecast URL: https://dataparrot.ai/docs/features/ai-forecast AI-powered sales forecasting for accurate pipeline predictions. Visualize deal health, track pipeline trends, and make data-driven revenue decisions. The AI Forecast provides you with an interactive, AI-powered view of your Sales Forecast. You can set your filters, determine your time series grouping, and categorize the forecast bars by AI deal health, forecast category, deal status, customer intent, and more. ## How to use AI Forecast The AI Forecast page combines saved views, filters, a forecast chart, a forecast table, and an AI-generated brief so you can investigate your pipeline from any angle. ### Saved Views Saved views live in a tab strip at the top of the page. Data Parrot ships with curated views like **New Business Not Moving**, **Expansion Stalled Deals**, **Expansion Timing Risk**, and **New Business Health Risk**. Click a tab to switch views, click + to create a new one from your current filter set, and use the overflow icon to manage and pin your views. ### Filters The filter bar lives directly under the saved view tabs. Filters are grouped into chips so you can open one at a time: - **Pipeline**. pick one or more Pipelines and Stages. - **Owners**. filter to specific Deal Owners or Teams. - **AI Insights**. open the full grid of AI Analysis categories: Deal Health, Purchase Intent, Close Date Confidence, Sales Performance, Deal Status, Win Chance, Stage Confidence, and AI Forecast Category. - **More**. filters built from custom deal properties configured for your tenant. The exact filters available here depend on which properties your team has set up. **AI Filter Details:** - **Deal Health**: The overall AI Health score of the deal (Very High, High, Medium, Low, Very Low) - **Purchase Intent**: How likely the customer is to buy (Very High, High, Medium, Low, Very Low) - **Close Date Confidence**: AI confidence in the close date (Very High, High, Medium, Low, Very Low) - **Sales Performance**: How well the rep is performing on the deal (Very High, High, Medium, Low, Very Low) - **Deal Status**: Whether the deal is moving (Active, Stuck, Dormant, Dead, Inactive, No Activity) - **Win Chance**: AI-estimated probability of winning the deal - **Stage Confidence**: AI confidence the deal is in the right stage (Very High, High, Medium, Low, Very Low) - **AI Forecast Category**: The AI-assigned forecast category (Commit, Best Case, Pipeline) *All of these AI insights are automatically generated and updated as the deal progresses.* ### Time Range and Grouping Use the date controls to scope the forecast window and choose how bars are grouped: - **D / W / M / Q** pills group the forecast by Day, Week, Month, or Quarter. - The **date range picker** lets you set an explicit start and end, with quick presets (YTD, Next 3M, Next 6M, Next 12M) and a draggable timeline. - **Span +/−** expands or contracts the visible range one period at a time. ### Breakdown, Amount, and Goals Three more selectors on the filter bar shape what the chart and table show: - **Amount**. switch between deal currency and company currency. - **Breakdown**. choose how the forecast is sliced (e.g. Deal Health, Purchase Intent, AI Forecast Category). The bars stack and the table rows group by whatever you pick here. - **Goals**. show All Goals, only Pipeline-specific goals, or hide goal targets entirely. ### Forecast Chart The forecast chart is the top half of the page. It plots the total amount of deals that match your filters, grouped by your time grouping and stacked by your Breakdown selection. Chart controls (top right of the chart): - **Bar Chart / Cumulative**. toggle between per-period bars and a running cumulative view. - **Include Won**. toggle whether closed-won deals are rolled into the totals. The right-hand legend panel shows the active **Goal**, **Total Deals** (sum + count), and a per-category breakdown matching your Breakdown selection. Mouse over a bar to see the same breakdown for that period. ### Forecast Table Below the chart is the forecast table. the same data as the chart, laid out as breakdown rows × time-period columns. It includes three sections: - **Open Deals**. open pipeline broken down by your Breakdown selection (e.g. Very High → Very Low Deal Health). - **Closed Deals**. Won and Lost totals per period. - **Goals**. your goal target per period for comparison. Click any cell to drill in. Use the download button (top right of the table) to export the table as CSV. ### Create Forecast Brief The **Create Forecast Brief** button (top-left of the chart) generates an AI-written executive brief on the current view. The brief includes a headline, executive summary, and a list of key findings with observations, hypotheses, why-it-matters context, and recommended actions. You can save, copy, download, or discard the brief, and edit any section before sharing. ### Recommended Saved Views Some saved views worth creating to investigate your forecast: - **Conservative Forecast**: Very High Purchase Intent + Very High Deal Health. - **Most Likely Forecast**: Medium/High/Very High Purchase Intent + Medium/High/Very High Deal Health. - **High Quality Deals Not Progressing**: Medium/High/Very High Purchase Intent + Stuck/Dormant/Dead/Inactive/No Activity Deal Status. - **Close Date Risks**: Late-stage Pipeline filter + Medium/Low/Very Low Close Date Confidence. ### Viewing the Deals Below the forecast table is the deal list. Every deal that matches your current filters and (when you click a cell) the selected breakdown × period. Reorder columns, sort, search, add or remove columns from the column picker, and download the list as CSV. Click any deal to expand it and see the AI Analysis, Timeline, and Suggestions. The Deal Table is the same one used in Deals. Learn more about the Deal Table. ## Next Steps - **Deals**: Learn how to use Deals to review your deals and increase HubSpot data quality. - **Research Trends**: Learn how to uncover positive and negative trends happening in your sales pipeline. - **Activity Dashboard**: Explore to see a detailed view of all your sales engagements across your sales team. - **Read more on our website**: Learn more about improving sales forecast accuracy. ### Briefs URL: https://dataparrot.ai/docs/features/briefs Your AI-generated daily and weekly sales brief. A headline read of deal movement, watchlist, won/loss, and team activity, in either an Executive or Newspaper layout. Briefs is your daily command center. An AI-generated sales brief that opens with a single headline, then surfaces the open deals that moved, the deals worth watching, what closed, and the team activity behind it. Briefs is available on all Data Parrot plans including Starter. ## Filters The toolbar at the top of the page controls the period, layout, and which deals are in scope. - **Period**: **Yesterday** for the last day's movement, **Last week** for a full-week view. - **Format**: **Executive** for a tight summary, **Newspaper** for a multi-column layout. **Deal Radar** is coming soon. - **Pipeline**: limit the brief to one or more pipelines and stages. - **Owners**: limit to specific deal owners. - **More Filters**: additional filters built from your tenant's deal properties. Your selections persist across visits. Format choice is remembered for next time. ## Share with Team If you're an admin, use **Share with Team** in the Briefs header to send the current brief to teammates. You can share with people who already use Data Parrot or choose HubSpot users your team wants to add. The link opens the same brief view, including the selected period, format, pipeline, and owner filters. ## Headline The brief opens with the period (for example, *Yesterday · May 7*), a one-line headline that summarizes what happened, and a short paragraph of context. This is the 30-second read. ## Deal Movement A two-column section of open deals that moved during the period. - **Trending Up**: deals where health or engagement improved. - **Trending Down**: deals where health, status, or engagement weakened. Each column shows up to 5 deals on Starter. On Pro, you can expand to see the full list. A short paragraph above the columns summarizes the movement across the period. ## Deal Watchlist A two-column section of currently-active open deals worth attention, regardless of whether they moved. - **Best Deals**: open deals where every Signal (Health, Status, Purchase Intent, Close Date Confidence, Stage) is reading strong. - **At Risk**: open deals where Purchase Intent is strong but Health is reading low or worse. Use this section to see which active deals deserve focus today, separate from period movement. ## Closed Deals Won and lost deals from the period, with totals at the top of each column. Each card shows the deal name, amount, owner, stage, and close date. On Pro, the card includes the primary win or loss reason. Sort each section by **Amount**, **Close Date**, or **Name**. ## Activity A grid of compact cards summarizing team activity for the period: **Deals**, **Meetings**, **Calls**, **Emails**, and **Leads** if your team uses leads in HubSpot. Empty cards are hidden, so the layout adapts to what your team actually tracks. ## Deal Cards and Signals Each deal card is expandable. Click a card to reveal the full Signals panel. Signals are Data Parrot's curated read on each deal, scored against your CRM, engagement, and history: - **Status**: whether the deal is moving (Active, Stuck, Dormant, Dead, Inactive). - **Purchase intent**: how likely the customer is to buy. - **Close date confidence**: confidence in the close date. - **Stage**: confidence the deal is in the right stage. Each signal includes a short reasoning line. Below the signals, a **Recent events** timeline shows the last few CRM changes, with dates. Sort the deal sections by **Recommended** (weighted by Signal strength), **Amount**, **Close Date**, or **Owner**. ## Executive vs Newspaper Same brief, two reads. Switch any time. **Executive** is the fast read. One headline up top, then the deals that moved, the deals worth watching, and the team's activity. Start your day with the picture and move on. **Newspaper** is the wide view. A print-style front page that puts everything side by side so you can see it all at a glance. ## Plans - **Starter**: top 5 deals per section. Closed-deal cards show name, amount, owner, and close date. - **Pro**: full deal lists with expand-to-see-more, win and loss reasoning on closed-deal cards, and full deal reasoning on every open-deal card. ## Yesterday vs Last week The **Yesterday** brief focuses on the last day's movement, watchlist, closed deals, and activity. The **Last week** brief broadens the period to a full week using the same sections, so the watchlist and activity reflect a wider window. ## Delivery via Email and Slack Briefs content is also delivered via Email and Slack notifications. Configure your notification preferences in Settings. ## Next Steps - Configure Notifications. Set up daily and weekly delivery via Email or Slack. - View Your Deals. Drill into individual deals for detailed AI analysis. - AI Forecast. See the forecast view of your pipeline. ### Customer Health URL: https://dataparrot.ai/docs/features/customer-health Monitor customer health with AI-powered health scores. Identify at-risk accounts, track customer engagement trends, and predict churn before it happens. Customer Health gives you an AI-powered health score for every customer, so you can see which accounts are thriving and which need attention before they churn. Customer Health is available for Data Parrot Pro and Max customers. Churn prediction is a Max-tier feature (coming soon). ## How It Works Data Parrot analyzes engagement patterns, deal activity, and communication signals across your customer accounts to generate a health score on a 1–5 scale: | Score | Status | What It Means | | --- | --- | --- | | 5 | Champion | Highly engaged, strong relationship, expanding | | 4 | Healthy | Regular engagement, stable relationship | | 3 | At-Risk | Declining engagement or concerning signals | | 2 | Critical | Minimal engagement, high churn risk | | 1 | Inactive | No recent engagement detected | ## Using Customer Health ### Filters Filter your customer list by: - **Health Status**: Champion, Healthy, At-Risk, Critical, Inactive - **Has Open Deals**: Focus on customers with active pipeline - **Last Won Date Range**: Filter by when the customer last closed a deal - **Time Period**: 3M, 6M, 12M, or All ### Summary Metrics At the top of the page, you can see: - **Total Customers**: The number of customers matching your filters - **Total Open Deal Value**: Sum of open deal amounts across filtered customers - **Total Lifetime Revenue**: Historical revenue from filtered customers - **Avg Health Score**: Average health score across the filtered set ### Customer Table The customer table shows each customer with their health score, open deal value, lifetime revenue, and key engagement metrics. You can: - Sort by any column - Search for customers by name - Customize visible columns - Export data to CSV ## Churn Prediction (Max Tier — Coming Soon) Coming soon on the Max tier: AI-powered churn prediction that identifies accounts most likely to churn based on engagement decay patterns, communication gaps, and deal activity trends. ## Making the Most of Customer Health - **Weekly check-in**: Review At-Risk and Critical customers weekly to catch problems early. - **Account planning**: Use health scores to prioritize which customers get proactive outreach. - **Team allocation**: Route your best CSMs to accounts showing early warning signs. - **Expansion signals**: Champion accounts with high engagement are your best candidates for upsell. ## Next Steps - **View Your Deals**: See deal-level health for individual opportunities. - **Win/Loss Analysis**: Understand why customers churned by reviewing lost deal patterns. - **Research Trends**: Surface customer sentiment and feedback trends. ### Deals URL: https://dataparrot.ai/docs/features/deals See which deals will close and which need help with AI deal scoring. Get instant health scores, risk alerts, and next steps for every opportunity. The Deals page is your command center for managing and tracking your sales deals. It displays all of your deals in a filterable, searchable table so you can review the Data Parrot AI insights and take action. Data Parrot analyzes all of your deals and provides a Deal Health Score and Forecast Category. you can drill into the details of each deal to see additional detailed AI analysis. Deals is available for Data Parrot Pro and Max customers. ## Filters & Search ### Main Filters The Main Filters are the standard filters at the top of the page. You can filter on Pipeline/Stage(s), Deal Owner(s), and Team(s). You can save and recall filters by clicking the "Save/Load Filter" dropdown. ### AI Filters There are additional AI Filters including: - the AI Analysis categories - Engagements (Calls, Meetings, Emails) Expand the AI Filters to see the available filters for AI and Engagements. You can save your AI filters as presets to recall later. **AI Filters:** The AI Filters are the AI Analysis categories including AI Health, Forecast Category, Deal Status, Customer Intent, Competitive Position, Sales Performance, Close Date Confidence, and Deal Stage Confidence. **Engagement Filters:** The Engagement Filters include Calls, Meetings, and Emails. whether they happened, the time range, and the AI impact. For Calls you can filter on Status, and for Meetings you can filter on Outcome. #### AI Filter Details - **AI Health:** The AI Health Score of the deal (Very High, High, Medium, Low, Very Low) - **Forecast Category:** The Forecast Category of the deal (Commit, Best Case, Pipeline) - **Deal Status:** Reveals if the deal is active or stuck (Active, Stuck, Dormant, Dead, Inactive, No Activity) - **Customer Intent:** The Customer Intent of the deal (Very High, High, Medium, Low, Very Low). Sometimes referred to as Purchase Intent. - **Competitive Position:** The Competitive Position of your company with the deal (Very High, High, Medium, Low, Very Low) - **Sales Performance:** Analysis of how well the sales person is performing with the deal (Very High, High, Medium, Low, Very Low) - **Close Date Confidence:** The AI Confidence of the Close Date of the deal (Very High, High, Medium, Low, Very Low) - **Deal Stage Confidence:** The AI Confidence of the Deal Stage of the deal (Very High, High, Medium, Low, Very Low) *Note: All of these AI insights are automatically generated and updated as the deal progresses.* ### Examples of Filter Combinations The ability to dynamically filter deals by AI Analysis and Engagements is very powerful. Here are some examples of useful filter combinations: - *Deals closing this month, with no emails in the last 7 days, with high Customer Intent* - *Deals with High Customer Intent, are Stuck/Dormant, and have no Discovery Meeting* - *Deals with Low Confidence in Close Date and are Stuck/Dormant* When you combine the AI filters with the Main Filters, you can quickly scan deals and focus on the right deals at the right time. For example, set your AI filter(s), then toggle between Deal Owners to review each rep's deals. ## Viewing Your Deals Once you have applied your filters, you will see a list of deals that match your criteria. In the deal table, you can: - add or remove columns - sort by any column - search for deals by name - expand the deal to see the AI Analysis, Timeline, and Suggestions ## Single Deal View When you click on a deal in the table, you will see the detailed analysis for that deal including: - AI health score and forecast category - Deal timeline with engagement history - AI-generated suggestions for next steps - Meeting transcripts (if available) ## Getting Started 1. **Set up your filters**: Create and save filter presets for your common use cases 2. **Customize your view**: Add the columns that matter most to your process 3. **Review with AI insights**: Use the expanded view to understand deal dynamics ## Next Steps - **Predict Sales with AI Forecast**: Boost forecasting with predictive analytics. - **Reveal Key Trends**: Automatically uncover positive and negative trends happening in your sales pipeline. - **Activity Dashboard**: See a detailed view of all your sales engagements across your sales team. - **Read more on our website**: Learn more about AI deal scoring. ### Features URL: https://dataparrot.ai/docs/features Explore Data Parrot's features for deal health, pipeline inspection, sales forecasting, win-loss analysis, and more. Data Parrot gives revenue teams a set of AI-powered tools to understand deal health, pipeline movement, forecast risk, and team activity. all driven by CRM data. ### Notifications URL: https://dataparrot.ai/docs/features/notifications Get AI-powered sales alerts when deals need attention. Customize notification preferences, channels, and team settings for pipeline updates that matter. Data Parrot offers the option to send Daily and Weekly notifications via Email or Slack, highlighting key deal changes, pipeline changes, and key trends. You can configure these notifications per user through the Settings page. *Note: The Slack notification is sent via a Direct Message to the user.* ## Daily Notification The Daily Sales Brief notification is sent to all users who have enabled daily notifications, filtered by Pipeline/Stage and Deal Owner if configured. The notification highlights up to 5 deals that have changed in the past day - if there are more than 5, it will highlight the most important deals impacted and include a link to see the rest in the Briefs. It is only sent if there are meaningful changes in your deals. The email includes: - AI Analysis of the deal changes and a link to the Briefs for more details. - Summary of the past day's activity including Engagements (Calls, Meetings, Emails), Leads (Created, Qualified, Disqualified), and Deals (Created, Won, Lost). - Summary of which deals are won/lost and why they were won/lost. ## Weekly Notification The Weekly Summary notification is sent to all users who have enabled weekly notifications, filtered by Pipeline/Stage and Deal Owner if configured. The Weekly Summary expands on the Daily Sales Brief and includes a summary of the past week's activity, including research trends, pipeline status, and key deal updates. ### Email Example ### Slack Example The Weekly Summary includes a Trend Report which is automatically generated and can be viewed any time in the Research Trends page. **Reminder**: You can customize the notification settings, including filtering by Pipeline/Stage and Deal Owner, in User Management. ## Next Steps - **Configure your notification settings**: Configure notification settings for Data Parrot users to receive Daily and Weekly Email notifications. - **Predict Sales with AI Forecast**: Boost forecasting with predictive analytics. - **Reveal Key Trends**: Learn how to uncover positive and negative trends happening in your sales pipeline. - **Activity Dashboard**: Explore to see a detailed view of all your sales engagements across your sales team. - **Win Loss Review**: Review your won and lost deals to improve your sales process. - **Read more on our website**: Explore CRM, communication tools, and productivity app integrations. ### Pipeline Time Machine URL: https://dataparrot.ai/docs/features/pipeline-time-machine Track how your sales pipeline changes over time. View historical deal movements, identify growth patterns, and understand what's driving pipeline changes. The Pipeline Time Machine enables you to look back through your deal history to understand how your pipeline has changed over time. It builds a detailed historical view that reveals shifts in deal amounts, progression through stages, and key metrics across any period, giving you deep visibility into your pipeline's evolution and patterns. ## How to Inspect your Pipeline The Pipeline Trends page gives you powerful tools to visualize and inspect your pipeline over time. It's the fastest, easiest way to conduct full pipeline inspections to understand what's happening. ### Filters The filter chips live at the top of the page. Open one chip at a time: - **Pipeline**. pick one or more Pipelines and Stages. - **Owners**. filter to specific Deal Owners or Teams. ### Choose your Time Period The date range picker on the right side of the filter bar controls the time range used by the chart and the Pipeline Table. Click it to expand the picker: - Quick presets: **YTD**, **Last 3M**, **Last 6M**, **Last 12M** - A draggable timeline for setting an explicit start and end - **Span +/−** to expand or contract the visible range one period at a time ### Group By The **Group** control sits to the left of the date range picker. Pick how the chart and table buckets are sized: - **Day**, **Week**, **Month**, or **Quarter** #### Historical Pipeline Chart The chart is the top half of the Pipeline Time Machine page. It plots the value of your pipeline at the end of each grouped period across your selected date range. Mouse over a bar to see the exact value for that period. Notes: - The bar values are the value of the last day in the grouped period. For example, if you are grouping by month, the bar value is the value of the last day of the month. #### Pipeline Table The Pipeline Table sits directly below the chart. It shows the same time range as the chart, broken down period-by-period across columns, with one row per pipeline change category. Each cell shows the value plus the percent change vs. the previous period (green = up, red = down). The table is grouped into three sections: - **Total @ Start**. the pipeline value at the beginning of each period. - **Changes**. what moved the pipeline value during the period: New Deals, Reopened Deals, Amount Increased, Amount Decreased, Closed Won, Closed Lost, Total Changes, and the resulting pipeline value at the end of the period (@ End). - **Stage Movement**. deals that were already in the pipeline and either stayed put (No Movement), Moved Forward, or Moved Backward in stage during the period. Click the download icon (top right of the table) to export the matrix as CSV. ##### What each row means | Row | Section | What it captures | | --- | --- | --- | | Total @ Start | Total | Pipeline value at the beginning of the period. | | New Deals | Changes | Deals created during the period. | | Reopened Deals | Changes | Deals previously closed that were reopened during the period. | | Amount Increased | Changes | Existing deals whose amount went up during the period. | | Amount Decreased | Changes | Existing deals whose amount went down during the period. | | Closed Won | Changes | Deals that closed Won during the period. | | Closed Lost | Changes | Deals that closed Lost during the period. | | Total Changes | Changes | Net of all the change rows above. | | @ End | Changes | Pipeline value at the end of the period (Total @ Start + Total Changes). | | No Movement | Stage Movement | Open deals that did not change stage during the period. | | Moved Forward | Stage Movement | Open deals that advanced one or more stages during the period. | | Moved Backward | Stage Movement | Open deals that moved back one or more stages during the period. | Here are some of the most common causes of pipeline changes: | Pipeline Change | Impact | Details | Advice / Notes | | --- | --- | --- | --- | | New Deals | Up | When new deals are created, the pipeline goes up. | When creating new deals, be sure that you are consistent in how you pick your initial Amount value. This directly impacts your pipeline value. | | Closed Deals | Down | When you Win or Lose a Deal, your pipeline goes down. | Yes - Winning Deals is *bad* for your pipeline. If your win ratio is 33%, for every deal you win, you must add 3 more deals to the pipeline. | | Amount Changes | Up or Down | When Deal Amounts change, your pipeline changes. | This is one of the hardest pipeline data points to uncover in your CRM. Data Parrot automatically reveals these changes for you. | | Re-Opened Deals | Up | Changing a deal from closed won/lost to open again will increase your pipeline. | Data Parrot reveals re-opened deals automatically. Some companies create new deals, others re-open closed deals. Data Parrot supports both! | | Pipeline/Stage Changes | Up or Down | When filtering on Pipelines/Stages, Data Parrot reveals deals that entered/exited the filtered pipeline/stages. | Examples are a deal moving from a pre-sales pipeline to a sales pipeline, or from Outbound Target to Qualified. | | Owner Changes | Up or Down | When filtering on Deal Owner, Data Parrot reveals deals that were re-assigned to/away from the filtered owner(s). | Most common use case: hiring a new rep and assigning new deals to them. Existing reps will have their pipelines go down! | Notes: - Deleted Deals will disappear from your pipeline completely including the entire history. It is typically recommended to create a custom stage, or even pipeline, to move deleted deals into instead of actually deleting them. - Merged Deals will consolidate for your pipeline history. For instance, if you had 2 duplicate deals, merged them together, then the Pipeline Chart will show only the merged deal across the history. ##### Detailed Deal-Level Changes Click any cell in the Pipeline Table to drill into the exact deals that make up that number. A deal table appears below the Pipeline Table showing every deal in the selected cell. including Deal Name, Pipeline, Current Amount, Baseline Amount, Amount Change, Baseline Stage, End Stage, Close Date, and Owner. Use the search box, column picker, and download icon to filter and export the list. The columns shown adjust to the row you selected. For example, Moved Forward shows baseline stage and end stage, while Amount Increased shows baseline amount and current amount. ## Making the Most of the Pipeline Time Machine - **Monitor Overall Health:** Use the chart to quickly assess if your pipeline is growing, shrinking, or remaining stable over time. Group by the range that makes the most sense based on your average sales cycle. - **Investigate Individual Sales Rep Pipelines:** Pipeline growth is one of the most important leading indicators of sales performance. Filter by Deal Owner to see how your reps are doing. - **Focus on the Pipeline Table:** Scan the Changes and Stage Movement rows to spot which categories are driving your pipeline up or down period over period. - **Drill Down:** Click any cell in the Pipeline Table to see exactly which deals are behind a number and investigate further. By regularly reviewing your Pipeline Time Machine to inspect your pipeline, you'll gain valuable insights into your sales process, helping you make data-driven decisions to optimize your pipeline and boost your overall sales performance. ## Next Steps - **Predict Sales with AI Forecast**: Boost forecasting with predictive analytics. - **Track Deals**: Monitor deal health and progress. - **Activity Dashboard**: Explore to see a detailed view of all your sales engagements across your sales team. - **Read more on our website**: Learn more about pipeline history tracking and analysis. ### Research Trends URL: https://dataparrot.ai/docs/features/research-trends Uncover customer sentiment and sales patterns with AI analysis. Identify positive trends, pain points, and feature requests from your CRM data automatically. Research Trends is an AI-driven analytics feature that surfaces customer sentiment, feedback patterns, and requests from CRM data. ## How to Use Research Trends The Research Trends page has two tabs in the left sidebar: **Your Reports** (reports you've generated) and **Weekly Reports** (automatically generated weekly reports). Click any report to view it, or click **New Report** to create one. To create a new report: 1. Use the filter chips at the top of the page to set the **Pipeline** and **Owners** scope for your report. 2. Click **New Report**. 3. Give the report a name and pick a date range. 4. Click **Run Report**. The report starts running and can take up to 2 minutes to complete. When it's complete, it's saved to **Your Reports** for you to view any time. You can export it as a PDF or delete it whenever you want. ## What Research Trends Reveals Each report has three sections: 1. **Positive Feedback Trends**. the top positive sentiment patterns from your selected deals (e.g. "Unified Platform Solves Cross-Functional Chaos"), each with a one-line summary and a detailed analysis. 2. **Negative Feedback Trends**. the top negative sentiment patterns (e.g. "No-Shows and Cancellations Kill Deals Fast"), with the same one-line summary + detailed analysis structure. 3. **Top Customer Requests**. the top requests from customers, broken into a **Top Request** and a **Runner-Up**, to help you prioritize product/service improvements. ## What You Can Do with the Results You can access the report any time from **Your Reports** on the Research Trends page. To share it with your team, click the **Export PDF** button at the top right of the report. ## Research Trends Limits There is a monthly limit on how many reports you can generate. You can see your remaining credits on the Research Trends page at the top right of the page. ## View Saved Reports The left sidebar has two tabs: - **Your Reports**. every report you've generated. Click any report to view it, export it, or delete it. - **Weekly Reports**. automatically generated weekly reports you can revisit any time. ## Making the Most of Research Trends - **Run for a specific pipeline**: scope the report with the Pipeline filter chip to see positive, negative, and customer-request trends for that pipeline. - **Get detailed insights**: combine the Owners and Pipeline filter chips with a tight date range to dig into specific trends. - **Revisit automatically generated reports**: check the **Weekly Reports** tab. the week-in-review email also links to the previous week's report. ## Next Steps - **Predict Sales with AI Forecast**: Boost forecasting with predictive analytics. - **See what growing (or shrinking!) your pipeline with Pipeline Time Machine**: Inspect pipeline health with analytics. - **Track Deals**: Monitor deal health and progress. - **See the Research Trends product page**: Learn more about sales strategy insights and trend analysis. ### Jul 18, 2024 URL: https://dataparrot.ai/docs/changelog/2024-07-18 Stay updated with the latest features, improvements, and bug fixes in Data Parrot. Check out our release notes for all versions. **New interface**: The new Data Parrot interface is now live. The overall flow of the app includes Home with a summary of all sections, Interaction Insights with AI analysis for emails on open deals plus AI-summarized Key Trends, Deal Progress showing which deals are progressing, stuck, or dormant, AI Forecast categorizing open deals by purchase intent level, and Settings for managing users, Slack, custom HubSpot properties, and notifications. **Pipeline Trends**: See exactly what changed in your pipeline with a dedicated trends view. !Pipeline Trends Interface **Light mode and dark mode**: Both light and dark mode are available across the app. !Light and Dark Mode Options **Interaction Insights with Key Trends**: The Interaction Insights section includes Key Trends analysis across all your emails. !Interaction Insights Interface ### Aug 1, 2024 URL: https://dataparrot.ai/docs/changelog/2024-08-01 Stay updated with the latest features, improvements, and bug fixes in Data Parrot. Check out our release notes for all versions. **Deal Progress update**: The Deal Progress section has been overhauled with filtering, scannable cards, and expandable details. Click the category boxes at the top to filter, scan AI feedback without scrolling, expand cards for additional analysis, and use the orange + button to create tasks in HubSpot. **Improved Settings**: The Settings page now has a new table layout making it easy to see which users have which filters and notifications. Push to HubSpot is more clearly labeled, and Integrations has its own section. Saving Deal Owner/Pipeline filters to your profile now automatically updates your Email Notifications as well. For more on these settings, see the docs settings overview. **AI-generated pipeline mappings**: You can now view the AI-generated pipeline mappings for your company. This is a work in progress and will be expanded over time. ### Sep 17, 2024 URL: https://dataparrot.ai/docs/changelog/2024-09-17 Stay updated with the latest features, improvements, and bug fixes in Data Parrot. Check out our release notes for all versions. **Homepage News Feed**: The home page now shows a timeline of key events related to your deals including new Deal AI Analysis, new engagements associated to deals, and key property changes (Amount, Pipeline/Stage, Close Date). You can expand any line in the newsfeed to see the Deal Card, and filter by the three categories. **Deal Pulse (replaces Deal Progress)**: Deal Pulse adds significantly more information with AI-assessed Deal Quality including Deal Health, Forecast Category (Committed, Upside, etc.), Deal Status (Active, Stuck, Dormant), Competitive Position, and Sales Performance. It also includes Deal Hygiene with Close Date confidence ratings and improved deal stage analysis with recommended stages. All data is exportable and will be added to AI Forecast. **Calls and meetings**: Calls and Meetings are now supported in the renamed "Engagement Insights" section, in addition to Emails. For now, the analysis relies on the content of those engagements inside HubSpot, with Zoom integration coming soon. **Improved AI**: The AI now intelligently adapts to the pipeline and stage of each deal, recognizing whether it is pre-sales, new business, expansion, or renewal. The tone is also much more direct -- instead of "The lack of engagement indicates difficulty in assessing the purchase intent" it will say "No activity. Unlikely it's even a deal." ### Jan 30, 2025 URL: https://dataparrot.ai/docs/changelog/2025-01-30 Stay updated with the latest features, improvements, and bug fixes in Data Parrot. Check out our release notes for all versions. **Team Activity Dashboard**: Now available via the Data Parrot Playground (early access), the Team Activity Dashboard shows a summary of meetings booked, held, rescheduled, calls, and emails for your sales team with filters. This was a popular request because identifying reschedules is very difficult in HubSpot. Team Activity Dashboard↗ **Deal Pulse Mode AI feedback filter**: The filter for Deal Pulse Mode now supports filtering by AI Feedback including Deal Health, Forecast Category, Deal Status, and more. Focus your deal review meetings on the deals that need the most attention. Go to Deal Pulse↗ **AI Forecast total amounts**: The AI Forecast now displays the total amount by month above the bars. Go to AI Forecast↗ **Notification email AI summaries**: The daily and weekly notification emails now have dynamic subjects and AI-powered summarization of the most important deal updates. Support for team activity, leads, and all engagements is coming soon. ### Feb 13, 2025 URL: https://dataparrot.ai/docs/changelog/2025-02-13 Stay updated with the latest features, improvements, and bug fixes in Data Parrot. Check out our release notes for all versions. **Team Activity Dashboard updates**: The Team Activity Dashboard now automatically loads your preferred Pipeline and Deal Owner default settings. Also new: total time spent in calls and meetings, giving deeper insight into team activities. The Team Activity Dashboard is available for early access in the Data Parrot Playground. Team Activity Dashboard↗ **AI Forecast filter update**: New timeframe options include This Month, 3 Months Out, 6 Months Out, and Custom Date Range. This aligns with Pipeline Trends and makes it easier to dig into your Forecast. A few small UI issues at various resolutions have also been fixed. Go to AI Forecast↗ ### Feb 20, 2025 URL: https://dataparrot.ai/docs/changelog/2025-02-20 Stay updated with the latest features, improvements, and bug fixes in Data Parrot. Check out our release notes for all versions. **Filtering by team**: Team filtering is now available everywhere in the app including the Team Activity Dashboard in Playground and for Deal Pulse Mode. You can save team filters to presets, and filter by Team and Deal Owner at the same time for maximum flexibility. Filter your AI Forecast ↗ !Filtering by Team **Accelerated HubSpot sync**: In Settings you can now activate accelerated sync, which increases the sync frequency to every 5 minutes for 2 hours. The default is hourly. You can also see the last time the HubSpot sync was completed. Deal Pulse Mode automatically activates accelerated sync. Turn on Accelerated Sync ↗ !HubSpot Accelerated Sync **Deal Pulse Mode chart**: As you go through Deal Pulse Mode and update your deals, you see a live update for your Forecast. The light green bar is the original state, and the dark green bar is the updated state. Note: changes made directly in HubSpot during Deal Pulse Mode will not currently be reflected -- only changes made in Deal Pulse Mode and confirmed will display. Go to Deal Pulse ↗ !Deal Pulse Mode Chart ### Feb 27, 2025 URL: https://dataparrot.ai/docs/changelog/2025-02-27 Stay up to date with the latest features and improvements in Data Parrot. **Research Trends**: A new way to analyze your sales data, originally introduced in 2024 Wrapped and now available anytime for any pipeline. Pick a date range and pipeline, and let AI uncover positive trends (what's working), negative trends (where the blockers are), and customer feedback (key product and service requests). Soon you'll be able to customize the research to focus on what matters most. Go to Research Trends↗ **Custom property analysis**: The AI now automatically classifies your custom HubSpot properties, giving you instant insights including AI Description, AI Category, AI Feedback, and Deal Pattern Analysis. This is an early release -- next up is property usage analysis, formula detection, and customer journey stage insights. View Your Custom Property Analysis↗ **Deal Pulse Mode filtering**: You can now filter by Close Date and Amount Range in Deal Pulse Mode. Deal Pulse Mode is a gamified tool designed to speed up Deal Review meetings, so you spend less time digging through data and more time strategizing to win deals. Go to Deal Pulse Mode↗ ### Mar 13, 2025 URL: https://dataparrot.ai/docs/changelog/2025-03-13 Won deal analysis in Playground, Team Activity Dashboard improvements, home currency support, and custom property usage updates. **Won Deal Analysis**: Now available in Playground for Pro customers with up to 10 recently won deals. Review reasons for winning, deal factors and user influencers, key turning points in the sales cycle, learnings to win future deals, and review of key deal signals. See Won Deal Analysis ↗ **Team Activity Dashboard**: The Team Activity Dashboard has graduated from Playground and is now available in the main app. View a summary of meetings booked, held, rescheduled, calls, and emails for your sales team with filters for date range, pipeline, deal owners, and more. View Team Activity ↗ **Home currency support**: Data Parrot now supports Amount in Home Currency across the entire app -- Pipeline Trends, AI Forecast, and everywhere else. All amounts now include currency symbols. Go to Data Parrot ↗ **Custom property usage**: Custom property analysis now includes usage data showing how and when properties are used, expanding on the existing classification that assigns a category, writes an AI description, and provides feedback. Useful graphs show the distribution of your custom properties, and you can export the custom property metadata from the table. View Your Custom Property Analysis ↗ **Visualize amounts by date range**: When filtering by Close Date in Deal Pulse Mode, you can now see the total amounts in a bar chart. Go to Deal Pulse Mode ↗ **Filter by Deal Owner in Research Trends**: You can now filter by Deal Owner in Research Trends in addition to Pipeline and Date Range. **View last sync**: See when Data Parrot last pushed AI properties to HubSpot. ### Apr 11, 2025 URL: https://dataparrot.ai/docs/changelog/2025-04-11 Stay up to date with the latest features and improvements in Data Parrot. **Ask Polly**: Meet Polly, the Data Parrot AI Chatbot. Available in Playground for Pro customers who have opted in, she can answer questions about engagements related to your Open, Won, and Lost Deals. Example questions: "What deals did we lose because we didn't have integration with ___?", "What deals did we lose that were RFPs?", "What open deals require SOC2 Compliance?" Ask Polly a Question↗ **Pipeline Time Machine**: Pipeline Trends has been overhauled so much it's now called Pipeline Time Machine. It shows what grew your pipeline, what shrank it, open deal movement, and more. Filter by any dates, pipelines/stages, deal owners, teams, and compare previous years. The Week in Review email has been updated to match. Check out Pipeline Time Machine↗ **New Help Site**: The help site has expanded with content including What is Data Parrot?, Quick Start, and Release Notes. Each page in the app now has a help button that takes you to the relevant help page. Go to Docs↗ **Other updates**: You can now filter by Team in the Activity Dashboard, Deal Pulse Mode supports empty Close Date values, and many other small fixes and quality of life improvements. Go to Deal Pulse Mode↗ ### Apr 17, 2025 URL: https://dataparrot.ai/docs/changelog/2025-04-17 Stay up to date with the latest features and improvements in Data Parrot. **Win Loss Review**: Now available for Data Parrot Pro users, Win Loss Review shows 1-2 sentences on why you won or lost a deal. Filter by Date Range, Pipelines, Deal Owners, and Teams. Supports export to CSV. Read More about Win Loss Review↗ **Win Loss Review Plus**: The first Data Parrot add-on, Win Loss Review Plus goes deep on the fundamental reasons why you win or lose deals. It covers ranked Win/Loss Reasons, Contact Roles and Influencers, Improvement Opportunities, Key Learnings, and Property Impact. For each deal, you can view a Sales Cycle Timeline showing deal health over time, stage changes, amount changes, and engagement timeline. The daily and weekly notification emails will be updated to include Won and Lost Deals. Win Loss Review Plus is $50/month and requires an annual Data Parrot Pro subscription with no additional per user fee. Learn more about Win Loss Review Plus↗ **Other updates**: The Engagement Insights section has been moved to a tab in the Activity Dashboard. The Billing section has been improved to be more informative and easier to use. ### May 7, 2025 URL: https://dataparrot.ai/docs/changelog/2025-05-07 Stay up to date with the latest features and improvements in Data Parrot. **Slack integration**: You can now receive daily and weekly notifications via Slack. Slack integration is available on all Data Parrot plans. Configure notification settings in Settings - User Management and connect Slack in Settings - Integrations. Read More about Slack Integration ↗ !Data Parrot Slack Integration - Weekly Notification **Win Loss Review Plus updates**: Major updates to the Win Loss Plus add-on now analyze your deals to reveal Win/Loss Reasons, your performance (sales motions, internal blockers, internal assists), customer profile (pain points, compelling event, friction, key stakeholders), and an interactive Sales Cycle Timeline for running deal post-mortems. This analysis requires significant AI so it is an optional add-on; Data Parrot Pro customers have access to the standard Win Loss Review. Learn more about Win Loss Review Plus ↗ !Data Parrot Win Loss Review Plus - AI Analysis of a Won or Lost HubSpot Deal !Data Parrot Win Loss Review Plus - Deal Overview !Data Parrot Win Loss Review Plus - Sales Cycle Timeline **Other updates**: Improved onboarding experience for new users, performance improvements, and fixed some quirky behavior with the filters. ### May 29, 2025 URL: https://dataparrot.ai/docs/changelog/2025-05-29 Stay up to date with the latest features and improvements in Data Parrot. **New interactive filters**: Filters have been redesigned for speed and ease of use. Main filters (pipeline, stage, deal owners, teams) are now separated from Deal Pulse filters. All filters are entirely on-page for instant results, presets are separated into Main and Deal Pulse for maximum flexibility, and as you choose Deal Pulse filters the other options dynamically update to guide you. Read More about AI Forecast **ChatGPT for HubSpot**: A custom GPT that doesn't just explain how to do something in HubSpot, but gives you multiple options so you can pick the right approach for your situation. Try the Free ChatGPT for HubSpot↗ **User management updates**: In Settings - User Management, you can now instantly revoke access to any user and set a default session duration before re-authentication is required. Manage your Users↗ **Other updates**: Sidebar is now smaller, filtering no longer shows non-sales pipelines, bug fixes with drop downs, and fixes with the Start Deal Pulse Mode filtering. ### Jun 26, 2025 URL: https://dataparrot.ai/docs/changelog/2025-06-26 Team Activity Dashboard updates, AI Forecast improvements, and new help pages for Data Parrot. **Team Activity Dashboard**: The dashboard now supports smart de-duplication of meetings -- if one tool books a meeting and another creates a second from the transcript, duplicates are detected and displayed clearly. You can also filter the dashboard by association to view activity by lead, deal, or all. Go to Team Activity ↗ | Read More about the Activity Dashboard **AI Forecast improvements**: You can now see both deal count and amount at the same time, and filter your Forecast by deals with no Close Date to find deals that need to be tidied up. The visual layout is cleaner with improved legends and more readable chart ranges. Go to the AI Forecast ↗ | Read More about AI Forecast **New help pages**: Several new pages have been added to the help site: - How to Run Deal Review Meetings - Guide for your Sales Team on the Data Parrot custom properties in HubSpot - How to Improve the Data Parrot AI ### Jul 9, 2025 URL: https://dataparrot.ai/docs/changelog/2025-07-09 Stay up to date with the latest features and improvements in Data Parrot. **New Deal Pulse Mode**: Deal Pulse Mode has been redesigned to make pipeline reviews sharper, faster, and more actionable. AI now frames each deal with "Why We Will Win" and "Why We Will Lose," with a new layout placing deals on the left, core insight in the middle, and actions and history on the right. Timeline and Suggestions are shown side-by-side for full context, and everything fits on a single screen with no tabs or scrolling. Go to Deal Pulse↗ | Read More about Deal Pulse **Filter deals by engagements**: A new way to filter deals based on real activity. Combine AI filters (like Customer Intent or Deal Health) with engagement filters (like email, meeting, or call history) to answer questions like: Which high-intent deals haven't had an email in 2 weeks? Which deals closing soon haven't had a discovery meeting? You can save favorite filters as presets. Top-level filters (Pipeline, Stage, Team, Owners) have been moved to the top so they follow you across sessions. Read More about Filtering Deals in Deal Pulse **New deal table view**: The deal table now supports choosing and reordering columns, sorting by multiple fields (like Close Date and Stage), and expanding any row to see full deal details without leaving the table. **Notes in AI scoring**: Notes are now considered for Deal Health Analysis with no extra work required. ### Jul 23, 2025 URL: https://dataparrot.ai/docs/changelog/2025-07-23 New Activity Dashboard for sales team insights and Deal Pulse help overlay. View calls, meetings, emails with dynamic filtering and sorting. **Activity Dashboard**: A single-screen view into the activities of your sales team showing a summary table, a chart of engagements over time, and a list of engagements. Filter by date range, owner, and whether activity is tied to a deal or a lead. Sort any column including meetings booked, rescheduled, call connects, talk time, and email counts. Click Meetings, Calls, or Emails in the table header to filter the chart, click a rep's name to filter for that owner, group the chart by day/week/month, toggle to hide duplicate meetings, and internal emails are removed automatically. Go to Activity Dashboard↗ | Read More about the Activity Dashboard **Help overlay for Deal Pulse Mode**: A new help overlay explains what each section of Deal Pulse Mode does. Click the question mark in the top right corner of the deal view to open it, hover over any section to learn more, and click close to dismiss. Read More about Deal Pulse Mode ### Aug 14, 2025 URL: https://dataparrot.ai/docs/changelog/2025-08-14 Data Parrot card now available in HubSpot deal views. Get AI-powered deal health, signals, and next steps without leaving HubSpot. **HubSpot UI Extension Card**: You can now add a dedicated Data Parrot card directly to your HubSpot deal view, bringing AI-powered insights right where you need them. Place the card on the Overview tab or in its own "Data Parrot" tab. See deal health, status, and key buying signals in one consolidated view. Create tasks from AI suggestions automatically linked to the deal. View won/lost reasons for closed deals. Access all insights without switching between platforms. **How to install**: Go to Settings - Integrations in Data Parrot and select "Install Data Parrot Card," then add the Data Parrot card to your deal view in HubSpot. Follow the step-by-step guide ↗ **Important notes**: The card can only be placed in the center panel of a deal record. Only Data Parrot users will see the AI insights (all users can still see custom properties). Use HubSpot's team views to control who sees the card. Available for Data Parrot Pro accounts. ### Aug 22, 2025 URL: https://dataparrot.ai/docs/changelog/2025-08-22 Major HubSpot UI Extension improvements including real-time AI recalculation, feedback system, and configurable sidebar card. Get instant insights and help improve our AI. **Real-time AI recalculation**: If you update a deal, add engagements, or change associations, you no longer need to wait for the daily refresh. Click Recalculate and get fresh AI analysis within 5-15 seconds. Install the Data Parrot HubSpot Extension ↗ **Right panel card**: The Data Parrot card is now available on the right panel in your HubSpot deal form. By default it shows Deal Health, Deal Status, and AI Summary. Each user can individually configure which AI insights they want to see from the available options: Summary, Deal Health, Deal Status, Purchase Intent, Competitive Position, Sales Rep Performance, Stage Confidence, and Close Date Confidence. **How to install**: In Data Parrot, go to Settings - Integrations and select "Install Data Parrot Card." In HubSpot, add the Data Parrot cards to your deal view. **Rate the AI insights**: Rate the AI analysis with a simple thumbs up or thumbs down and provide optional detailed feedback to help improve the analysis. ### Sep 11, 2025 URL: https://dataparrot.ai/docs/changelog/2025-09-11 Major HubSpot UI Extension improvements including real-time AI recalculation, feedback system, and configurable sidebar card. Get instant insights and help improve our AI. **Improved HubSpot UI Card**: The Data Parrot card in HubSpot has been updated with a more visual layout and scores that are easier to read. To install, go to Settings - Integrations in Data Parrot and select Install Data Parrot Card, then add the cards to your deal view in HubSpot (main panel, sidebar, or both). Help Guide ↗ **Chat with your deal in HubSpot**: You can now ask any question about a deal to Data Parrot right in HubSpot. The AI chatbot considers everything related to the deal including primary deal data with custom properties and historical values, associated engagements, associated companies and contacts, and deals and engagements associated to those companies and contacts. To enable, go to Settings - Integrations and select "Install Data Parrot Card" then "Enable Data Parrot AI Assistant." Help Guide ↗ **Full screen deals in Data Parrot**: Open any deal and get a single-screen view of everything going on with your deal, including Why We'll Win and Why We'll Lose. Go to Deal Pulse ↗ **Improved Pipeline Time Machine**: The Pipeline Time Machine filters have been reorganized for easier pipeline tracking. The flow is now: choose your grouping (day/week/month/quarter), pick your date range, then optionally compare to previous periods. Go to Pipeline Time Machine ↗ ### Sep 18, 2025 URL: https://dataparrot.ai/docs/changelog/2025-09-18 Enhanced HubSpot UI with Why We'll Win/Lose insights, new Deal Chat in Data Parrot, and improved Win-Loss Plus standardization for better sales analysis. **HubSpot UI Extension updates**: The extension now dynamically calculates "Why We'll Win" and "Why We'll Lose" for real-time insights into deal strengths and risks. You can expand to see details for summary, signals, and hygiene metrics. General cleanup and design improvements have also been applied. To install, go to Settings - Integrations and select "Install Data Parrot Card," then add the cards to your deal view in HubSpot. Help Guide ↗ **Chat with your deal in Data Parrot**: You can now ask questions about your deal directly within Deal Pulse Mode or the Deal Form. The AI chatbot analyzes comprehensive deal context including primary deal data with custom properties and historical values, associated engagements and interaction patterns, associated companies and contacts, and deals and engagements associated to those companies and contacts. Chat with your Deal ↗ **Win-Loss Plus improvements**: The Win and Loss Reason categories have been standardized. Previously there could be overlap with similar reasons -- now the grouping is more natural, making it easier to identify patterns in why deals are won or lost. This enables better pattern recognition, training opportunities based on common objections, and data-driven decisions about product, pricing, and positioning. Win-Loss Plus is an Addon available for Annual customers. Go to Win-Loss Plus ↗ ### Oct 1, 2025 URL: https://dataparrot.ai/docs/changelog/2025-10-01 The Data Parrot HubSpot UI Extension is now available for all users. **HubSpot UI Extension now available for all users**: Get AI-powered deal health directly inside HubSpot on deal records for open, won, and lost deals. With the extension you can get the real health of open deals with AI signals on status, purchase intent, and risk; see why deals were won or lost with outcome analysis; chat with your deals using built-in context from associated companies and contacts; and create tasks inline from AI suggestions. **How to add the cards**: The Data Parrot AI cards can be added to both the main deal view and the right sidebar in HubSpot. In HubSpot, go to Settings, then Integrations, then Data Parrot, then App Cards. Select Manage Locations and choose where to place the cards -- the left box ("Data Parrot") adds it to the main panel, the right box ("Data Parrot Sidebar") adds it to the sidebar. You can also customize placement from Settings, Objects, Deals, Record Customization. Once added, users with Data Parrot access will see the Deal Health cards on the Deal Form. **Availability by plan**: | Data Parrot Version | Open Deal Analysis | Won/Lost Deal Analysis | | :----- | :----: | :----: | | Starter | Available (Credits) | Coming Soon (Credits) | | Pro | Available | Available | | Win Loss Review Plus Addon | | Coming Soon | **For beta users**: The beta app ("Data Parrot Private Beta") was shipped as a separate HubSpot app and can be safely disconnected once you migrate to the new cards. Go to Settings, Objects, Deals, Record Customization -- remove the old beta cards from your views, then add the new cards via Settings, Integrations, Data Parrot, App Cards. Contact us if you have any issues. ### Oct 9, 2025 URL: https://dataparrot.ai/docs/changelog/2025-10-09 The Data Parrot HubSpot UI Extension is now available for all users. **Updated notifications**: The email and Slack notifications have been completely redesigned to be easier to read and more visual. They now include summary team activity with calls, meetings, and emails sent/received; deals created, won, or lost; and leads created, qualified, or disqualified (if you use leads). The Slack notifications are being updated to match this new design. Update your Notification Settings ↗ !Data Parrot AI Powered Email Notifications that include Deal and Lead data to help you connect sales activity with sales outcomes **Activity Dashboard with leads and deals**: The Activity Dashboard now includes Leads and Deals so you can see everything your team is doing in one place. View calls, meetings, emails, deals, and leads in a single table. Filter by date range, pipeline, sales team member, and association type. Sort by anything, filter out duplicate meetings with AI, interact with a chart showing data over time, and export to CSV. View Activity Dashboard ↗ !Team Activity Dashboard showing Leads, Deals, Calls, Meetings and Emails ### Oct 22, 2025 URL: https://dataparrot.ai/docs/changelog/2025-10-22 New Data Parrot Homepage consolidates Pipeline Movement, Team Activity, Research Trends, and Deal updates in one interactive dashboard. Everything you need in one screen - no scrolling required. **New Homepage**: The Data Parrot Home Page puts everything together in a single, filterable, interactive dashboard with no scrolling required. Filter by Pipeline, Deal Owners, and Time Range to see exactly what you need. The homepage includes four views: - Pipeline Movement: what grew your pipeline (new deals, amount increased, re-opened deals) and what shrank it (closed deals, amount decreased) - Team Activity: meetings (booked, held, rescheduled, scrapped), calls (connected, voicemails, failed attempts), emails (sent and received), deals (created, won, lost), and leads activity tracking - Research Trends: positive trends worth pursuing, negative trends to watch, and top customer requests and feedback patterns - Deal Movement: open deal changes with AI health score impact, won deals with AI summaries, and lost deals with AI analysis View your Home Page ↗ ### Nov 4, 2025 URL: https://dataparrot.ai/docs/changelog/2025-11-04 Fathom integration now available in Beta to improve Data Parrot AI analysis for Deal Intelligence. Plus, new Personal Settings page for notification preferences and integrations. **Fathom integration (Beta)**: Connect your Fathom account to improve Data Parrot AI analysis for Deal Intelligence. Fathom integration is done at the user level, not org-wide -- each sales rep must connect their own Fathom account in Personal Settings. Historical deal re-evaluation may be available in the future -- contact us to request this. Read More About Fathom Integration → **Personal Settings page**: A dedicated Personal Settings page gives each user control over their Data Parrot experience. Choose how Data Parrot sends updates with Daily Email/Slack (morning summary of deal changes and insights), Weekly Email/Slack (comprehensive weekly roundup), and the ability to filter notifications by Pipeline, Stage, and Deal Owner. **Simplified Settings for Admins**: The overall settings section has been reorganized with clear tabs: Personal Settings (notification preferences and integrations), User Management (manage team members and permissions, admin only), Integrations (organization-wide integrations like HubSpot, admin only), and Subscription Details (billing and plan information, admin only). Go To Settings ↗ ### Nov 20, 2025 URL: https://dataparrot.ai/docs/changelog/2025-11-20 Win Loss Plus major update turns every closed HubSpot deal into clear, objective win/loss analysis with automatic classification of Sales Motions, Internal Blockers, and Customer Context. **Win Loss Plus now classifies every closed deal**: A major update to Win Loss Plus that turns every Closed Won/Lost HubSpot deal into a clear, objective view of what drove the outcome, automatically grouping reasons so you can see the themes across all your wins and losses. For every won and lost deal, Data Parrot runs a full breakdown and classifies: - Sales Motions: what your reps did well vs. where they struggled (e.g., "Value Messaging," "Strong Product Storytelling" vs. "Poor Qualification," "Weak Discovery") - Internal Assists and Blockers: where your company sped things up or slowed deals down (e.g., "Marketing Content Turnaround," "Executive Involvement" vs. "Delayed Legal Approvals," "Missing Technical Resources") - Customer Context: the specific pain points (e.g., "Manual Reporting," "Unclear Pipeline Health"), compelling events (e.g., "Sales Plan Deadline," "New VP Sales Hire"), and stakeholders (e.g., "Technical Leader Influence," "Internal Champion") that drove the buying process These are examples -- all of this is automatically personalized to your company, product, and customers. **Use cases**: Coach reps with facts showing which motions win and which patterns lose. Ramp new reps faster with real data on how deals are won. Fix internal bottlenecks where legal, approvals, or missing resources hurt the sales team. Aim marketing at real buyer pain using actual pain points and compelling events from your wins. Run deal post-mortems turning every key deal into a clear storyline. **Detailed deal view**: Click on any deal in the tables to see the detailed analysis. Each Sales Motion, Internal Blocker, Internal Assist, Compelling Event, Pain Point, and Stakeholder is shown with a score and a description of the impact on the deal, dynamically adapted based on the deal's specific details. **Pricing and access**: Win Loss Plus is available now as a paid add-on and requires an annual Data Parrot Pro subscription. Once enabled, the AI will begin analyzing your historical deals immediately. Add Win Loss Plus | Learn About Win Loss Plus ### Jan 1, 2026 URL: https://dataparrot.ai/docs/changelog/2026-01-01 Data Parrot Wrapped 2025 is now available with your Pipeline Hero, top trends, customer requests, won vs lost insights, and team activity standouts. **Data Parrot Wrapped 2025 is live**: your second annual Wrapped is now available in the app. Welcome to the second annual Data Parrot Wrapped, where we summarize the most important insights from your 2025 sales year. It gives your go-to-market team a fast year-in-review of what drove outcomes, what buyers asked for most, and who led key activity metrics. Your Wrapped reveals: - Your Pipeline Hero - Key positive and negative trends that drive deal outcomes - Top customer requests for your company - The difference between your won and lost deals - Your top performers in emails, calls, and meetings This is built to help your team align quickly on what worked, what did not, and where to focus first as you start 2026. Go to Data Parrot Wrapped ↗ ### Feb 10, 2026 URL: https://dataparrot.ai/docs/changelog/2026-02-10 Data Parrot v3 is live with in-app Briefs, a rebuilt AI Forecast, custom properties, flexible tables, saved views, and remembered working state. **Data Parrot v3**: We rebuilt Data Parrot from the ground up. It is faster, more intuitive, and gives us a foundation to ship improvements multiple times per week. ## What's new - Daily and weekly Briefs are now available in-app - AI Forecast has a major update with saved views and an interactive matrix - Custom properties are available in columns and filters - Tables now support add, remove, resize, and reorder actions - Saved views persist, and your working state is remembered **Briefs in-app**: The daily and weekly briefs are now available directly in the app. You can see key open deal movement, activity summaries, won and lost deals, and a Deal Wire that shows updates to your deals. **AI Forecast major update**: AI Forecast has been rebuilt to make it easier to slice the forecast, save views, and drill into the deals behind the numbers. - Generate suggested views with the new AI Composer - Create and save as many views as you need - Filters now include custom properties - One-click access to time range and group-by, including quarter - Top summaries update with your current breakdown - The new interactive forecast matrix includes won and lost deals, and you can click any cell to see the underlying deals **Custom properties and table controls**: Custom properties are now available as table columns and filter options across the app. You can add, remove, resize, and reorder columns, then come back to the same working state later. **28 themes**: Choose from 28 built-in themes including light and dark mode. Change it any time from the sidebar. ## Coming next Three sections were not live yet in this release and were scheduled to ship over the next one to two days with major updates: - Customer Health - Win Loss Max - Activity Dashboard The previous app remains accessible from the left-side menu. ## Feedback If you hit an issue or want to share feedback, reply to the email update or use the help icon in the app. We were already working through a short list of known issues and shipping fixes over the next few days. ### Feb 24, 2026 URL: https://dataparrot.ai/docs/changelog/2026-02-24 Customer Health trend indicators and AI Forecast improvements. **Customer Health trend indicators**: Customer Health now shows trend arrows next to each account's health score, so you can see whether accounts are improving or declining over time. **AI Forecast streaming summaries**: AI Forecast can now generate a summary of your forecast on demand. The summary streams in as it's generated and highlights risks, patterns, and notable changes in your pipeline. **AI Composer**: Generate suggested forecast views using the new AI Composer. Describe what you want to see and Composer creates a saved view with the right filters and breakdowns. **Forecast target icons**: AI Forecast shows goal target lines on the chart so you can see how your pipeline stacks up against targets at a glance. **HubSpot Goals support**: HubSpot Goals are now built into AI Forecast. See which users have goals, compare goals vs forecast side by side, and click any goal in the Worksheet to see the underlying breakdown. If you don't see goals, refresh your HubSpot connection from settings. ### Feb 26, 2026 URL: https://dataparrot.ai/docs/changelog/2026-02-26 AI Forecast now supports HubSpot goals, AI Composer-generated views, and Analyze with AI for faster forecast review and deeper deal-level insight. Today we have three major updates for AI Forecast: - **HubSpot Goals support** is now built into AI Forecast - **AI Composer** can generate suggested AI-powered forecast views - **Analyze with AI** adds deeper forecast analysis and faster drill-down on what is driving changes ### Create a forecast brief Use Analyze with AI to create a brief that reveals strengths and weaknesses in your forecast. - Summarize the current forecast context based on your timeframe and filters - Highlight key upsides and risks - Include confidence scoring with reasoning - Recommend next steps - Download to markdown or PDF We built this to help teams save time and avoid missing the key issues when investigating forecast changes. ### Generate forecast scenarios with AI Use AI Composer to create forecast scenarios, or views, based on the data. Each view is built by the AI, including filters, time ranges, and even deal columns. Examples include: - New business deals not moving - Expansion deals at risk of delays - Best near-term deals ### Support for HubSpot Goals HubSpot Goals are now supported in AI Forecast. You can see which users have goals, compare goals against forecast, and click any goal in the worksheet to open the goal breakdown. If you do not see goals, refresh your HubSpot connection from settings. Open AI Forecast ↗ ### Mar 19, 2026 URL: https://dataparrot.ai/docs/changelog/2026-03-19 Activity Dashboard is now live for Pro and Max with a rep-by-rep activity matrix, configurable charts, drill-down detail tables, and saved layouts. **Activity Dashboard is now live**: The Activity Dashboard is now available for Pro and Max teams. It gives you one operating view of rep activity across calls, meetings, emails, deals, and leads, without bouncing between CRM reports, exports, and pivot tables. You can review the whole team in one matrix, click into any number to see the records underneath, and shape the page around the views your team actually uses. ## What is included - Rep-by-rep activity matrix for calls, meetings, emails, deals, and leads - Detail tables for engagements, deals, and leads, with drill-down from the dashboard - Configurable time-series charts for the metrics you care about - Daily, weekly, and monthly chart grouping, plus line, bar, and cumulative chart views - Custom columns and stage-scoped activity breakdowns - Drag, resize, and rearrange controls so each team can shape the layout around its review workflow - Saved working state and backend-persisted layout, so the dashboard comes back the way you left it - CSV export and action-ready links where they help you move from summary to follow-up faster ## Why it matters Most sales teams have the activity data already, but not a usable surface for reviewing it. The hard part is not collecting calls, meetings, and emails. The hard part is turning that activity into something a manager can scan in one pass, spot weak coverage, compare reps fairly, and drill into specifics without rebuilding the view every time. That is what Activity Dashboard is built to do. It is a real operating surface for weekly reviews, coaching, and pipeline inspection, not another static report. ### May 5, 2026 URL: https://dataparrot.ai/docs/changelog/2026-05-05-briefs-executive-and-newspaper Briefs has Executive and Newspaper layouts, Share with Team, and toolbar controls for daily and weekly reads, formats, pipelines, and owners. **New Briefs layouts**: Pick the format that fits how you read. Switch between **Executive** and **Newspaper** from the Briefs toolbar while keeping the same daily or weekly brief context. ## What changed - **Executive**: A fast read with the headline, deal movement, watchlist, closed deals, and activity in a focused page flow. - **Newspaper**: A wider, scan-first layout with the lead story, metrics, open deal highlights, closed deals, and activity arranged side by side. - **Toolbar controls**: Use the top toolbar to move between **Yesterday** and **Last week**, switch formats, and narrow the brief by pipeline or owner. - **Share with Team**: Admins can share the current brief with existing Data Parrot users or HubSpot users from the Briefs header. ## How to use it Start with **Executive** when you want the quickest read on what changed. Use **Newspaper** when you want more of the brief visible at once for review or discussion. Your selected format stays in place while you work, so you can move between filters without having to reselect the layout. Use **Share with Team** when another user should review the same brief context from Data Parrot. Read the Briefs guide. ### May 22, 2026 URL: https://dataparrot.ai/docs/changelog/2026-05-22-win-loss-max Win/Loss Max is now live with automated signals for won and lost deals, category views, and deal-level drilldowns. **Win/Loss Max is now live**: Win/Loss Max helps teams understand why deals are won and lost by finding repeated signals across closed HubSpot deals. Data Parrot reviews the activity connected to each deal and groups the findings into categories such as **Top Reasons**, **Sales Motions**, **Internal Assists**, **Internal Blockers**, **Pain Points**, **Compelling Events**, **Stakeholders**, and **Customer Friction**. ## What is included - Automated signals for closed-won and closed-lost deals - Won and Lost views, with filters for date range, pipeline, owner, and supported custom properties - Category views for Top Reasons, Sales Motions, internal assists or blockers, customer pain points, compelling events, stakeholders, and customer friction - Signal ranking by deal count or deal amount - Main driver and Influenced counts for each signal - A deal table for reviewing the matching deals behind each signal - Click-through from a signal row to the full Data Parrot deal review ## Why it matters Win/Loss Max gives revenue teams a better way to use closed-deal history. Instead of relying only on manually filled HubSpot fields, teams can review the signals Data Parrot found across real deal activity and use them for sales coaching, qualification, marketing, product feedback, forecast reviews, and enablement. Read the Win/Loss Max guide. ### Changelog URL: https://dataparrot.ai/docs/changelog Release notes and product updates for Data Parrot. ### Custom AI Properties in HubSpot URL: https://dataparrot.ai/docs/getting-started/custom-ai-properties-in-hubspot Plain-language guide to every Data Parrot AI custom property that appears on an open deal in HubSpot - what it is, why it matters, and how to use it. Data Parrot adds AI properties to every open deal: overall deal health, customer intent, next steps, and more. If this isn't available, see the settings docs for enablement details. ## Why it Helps You With the Data Parrot AI feedback in HubSpot, you have a number of ways this can help you: - **Focus on high ROI deals**: See at a glance which deals have real traction so you’re always spending time where it pays off. - **Helping Busy Sales People**: The AI feedback helps the sales team catch stuck deals before they become dead deals. - **Committing with Confidence**: AI flags weak customer intent so only solid deals hit the forecast. - **Faster/Better Deal Reviews**: The Data Parrot AI summarization helps the leadership and sales team spend more time collaborating on winning deals (and less time catching up). - **More Time Selling**: No extra data entry, AI fields mean fewer required properties and less digging through timelines. ## Examples of How to Use the Custom Properties ### 1. Reviewing an Individual Deal Depending on how your HubSpot administrator set it up, you may see the Data Parrot AI Analysis properties in the left sidebar of the deal or in the main timeline (or both!). Simply open a deal and review the properties. Do you agree? Any red flags? If it's wrong, is it because the AI is wrong or because it doesn't know something it should? Read more about how to ensure the AI has the right data to work with. ### 2. Scanning for Deals that Need Attention It's a great idea to add key Data Parrot AI Analysis properties to your HubSpot views so you can quickly scan for deals that need attention. The most popular properties are: | Label | Why | |-------|---------------------| | Deal Health | The quick snapshot of the overall deal health. | | Customer Intent | How serious the customer is about buying - often considered the strongest signal of fundamental deal quality. | | Deal Progress | Whether the deal is active or stuck (or worse!). Catch stuck deals before it's too late! | Other popular properties are Next Steps, Competitive Position, and Sales Performance. ### 3. Collaborating on Deals in Deal Review Meetings The Data Parrot AI Analysis properties are a great way to collaborate on deals in deal review meetings. Instead of digging through the timeline history to figure out where to focus, you can simply scan the Data Parrot AI Analysis properties in your views. Your Deal Review Meetings will be shorter, more focused, and more effective. ### 4. Committing Deals to the Forecast Committing deals to the forecast is a critical part of the sales process. With Data Parrot, you get a second opinion on the deal health. - Are the buying triggers there? - Is the Close Date realistic? - Has this deal been progressing as expected? - Are there any red flags? ## Detailed Property Descriptions There are a number of custom properties created by Data Parrot in HubSpot. Below is the full list of properties and their descriptions. ### Deal Health: Summarizing the Deal **Data Parrot Deal Summary** * 1-2 sentence summary of the deal. **Deal Health Status** * Overall verdict on deal quality. * Values: Very High, High, Medium, Low, Very Low, Inactive. * What it tells you: whether this deal looks rock-solid or risky at a glance. **Deal Health Details** * One-sentence reason for the status. * Why it matters: reveals the main factor driving the AI Deal Health Status. **Forecast Category** * Where the AI puts the deal in our forecast roll-up. * Values: Committed, Upside, Pipeline, Low Chance, Abandon, Inactive, Lead. * What it tells you: how (or if) the revenue should be counted. **Forecast Category Details** * Short rationale for the forecast choice. **Next Steps** * Actionable moves the AI recommends right now. * What it tells you: general suggestions on next steps to take to progress the deal. ### Deal Signals: Going Deeper on the Deal **Deal Progress Status** * Analysis of the current deal velocity. Is it moving or stalled? * Values: Active, Stuck, Dormant, Dead, Inactive, No Activity. * What it tells you: whether the deal is progressing as expected. **Deal Progress Details** * Key evidence driving the deal progress status. **Customer Intent Status** * Strength of the buyer’s intent to purchase. * Values: Very Strong, Strong, Medium, Low, Very Low. * What it tells you: how serious the customer is about buying. In various sales methodologies this can be called Buyer Triggers, Compelling Event, Purchase Intent, etc. **Customer Intent Details** * Evidence supporting the intent score. **Competitive Position** * Our odds of winning against the competition. * Values: Very High, High, Medium, Low, Very Low. * What it tells you: whether we’re front-runner, neck-and-neck, or trailing. **Competitive Position Details** * Rationale for that competitive analysis. **Sales Performance** * Quality of the rep’s execution so far. * Values: Excellent, Good, Average, Poor, Very Poor. * What it tells you: how well the sales motions are being run. **Data Parrot Sales Performance Details**: Brief explanation of the sales performance rating. ### Deal Hygiene: Ensuring the Key Deal Properties are Accurate **Data Parrot Close Date Confidence**: Certainty that the current close date is realistic. Values: Very High, High, Medium, Low, Very Low. What it tells you: if the target date looks solid or wishful. **Data Parrot Close Date Confidence Details**: Brief reason for the confidence level. **Data Parrot Suggested Close Date**: AI-proposed date when the current one seems off. What it tells you: a more believable finish line. **Data Parrot Deal Stage Confidence**: Certainty the deal is parked in the right stage. Values: Very High, High, Medium, Low, Very Low. What it tells you: whether we should bump the stage forward, or back. **Data Parrot Deal Stage Confidence Details**: Reasoning behind the stage confidence. - **How to Improve the Data Parrot AI** - **Learn more about Data Parrot** - **View Your Deals** ### Setup Guide URL: https://dataparrot.ai/docs/getting-started Get started with Data Parrot's AI-powered revenue intelligence platform. Learn the basics, set up your account, and configure HubSpot integration. Welcome to Data Parrot! This section will help you get up and running with our AI-powered revenue intelligence platform. ## Quick Links - **Quick Start Guide**. Get up and running in minutes. Learn the essential steps to start using Data Parrot effectively. - **What is Data Parrot?**. Learn about Data Parrot's mission and how AI-powered deal insights can transform your sales process. - **Custom AI Properties in HubSpot**. Understand how Data Parrot pushes AI-generated insights directly into your HubSpot deal properties. ## What You'll Learn - **Platform Overview**: Understand what Data Parrot does and how it helps your sales team - **Account Setup**: Complete your initial configuration - **HubSpot Integration**: Connect and sync your CRM data - **First Steps**: Navigate the app and start getting value immediately ## Next Steps After getting started, explore more of Data Parrot: - **Explore the App**: Deep dive into all features - **HubSpot Integration**: Configure advanced HubSpot settings - **How-To Guides**: Learn best practices ### Quick Start URL: https://dataparrot.ai/docs/getting-started/quick-start Start using Data Parrot's sales analytics in minutes. Connect HubSpot, auto-sync your pipeline data, and get AI-powered revenue insights with zero setup required. Data Parrot gets you from CRM chaos to clear sales insights fast. **No complex setup. Just connect and go!** 1. **Connect Your HubSpot Account**: Create a new Data Parrot account here: app.dataparrot.ai 2. **Sign in with your HubSpot Account**: Data Parrot uses your existing HubSpot credentials to simplify the signup process. *Note: The first user needs admin permissions to link the account. If there's an issue, we'll guide you through it.* 3. **Data Parrot Gets to Work**: Data Parrot gets right to work - no manual configuration needed. Your CRM is synced and your deals are analyzed before you're let into the app. This process typically takes a few hours depending on the size of your HubSpot account - feel free to close the tab while you wait. 4. **Onboarding Complete**: You'll receive an email when Data Parrot's done. Once analysis is complete, sign in to explore the insights Data Parrot has generated for you. Every account created is automatically on the *Data Parrot Starter* plan. You can upgrade to the Pro or Max plan at any time. View Data Parrot's pricing details here. ## Setup Options Data Parrot works out of the box, but you can tweak it for your team. Here's what's available: ### Add Users - Go to "Users" in settings here - Add HubSpot users and optionally set filters (pipelines, stages, deal owners). - They can log in right away. ### Individual User Settings - Click the pencil icon beside the user to update. - Set as admin if needed. - Choose notifications: **Daily**, **Weekly**, or none for your Email and optional Slack notifications. - Filter notifications by pipeline, stage, or deal owner (optional). ### (Pro) HubSpot Sync Settings Configure on the Integrations Page. #### Accelerated Sync - Activate for syncs every **5 minutes** over a 2-hour window. - Useful for urgent tracking. Deal AI feedback updates daily. #### Sync Data Parrot Deal AI Feedback to HubSpot Custom Properties Enrich your HubSpot deals with the Data Parrot AI insights synced directly to custom properties in your HubSpot. To set this up, go to Integrations and toggle on the AI categories you would like to sync to your HubSpot. The options are Deal Health, Deal Hygiene and Deal Signals: **1. Deal Health** Tracks overall deal status and next steps. | Label | HubSpot Property Name | Description | |----------------------------------|-------------------------------------|----------------------------------------------| | Deal Health Status | dp_overall_deal_health_score | Low, Medium, or High rating. | | Deal Health Details | dp_overall_deal_health_reasoning | Why it's rated that way. | | Forecast Category | dp_forecast_category | How to categorize for forecasting. | | Forecast Category Details | dp_forecast_category_reasoning | Reasoning behind the category. | | Deal Next Steps | dp_next_best_action | Recommended actions to take. | | Deal Summary | dp_deal_summation | Full deal overview. | **2. Deal Hygiene** Checks accuracy of key deal data. | Label | HubSpot Property Name | Description | |----------------------------------|-------------------------------------|----------------------------------------------| | Close Date Confidence | dp_close_date_confidence | Low, Medium, or High confidence level. | | Close Date Confidence Detail | dp_close_date_confidence_reasoning| How confidence was assessed. | | Suggested Close Date | dp_suggested_close_date | AI-recommended close date. | | Deal Stage Confidence | dp_deal_stage_confidence | Low, Medium, or High stage accuracy. | | Deal Stage Confidence Detail | dp_deal_stage_confidence_reasoning| How stage confidence was determined. | **3. Deal Signals** Flags momentum and risks. | Label | HubSpot Property Name | Description | |----------------------------------|-------------------------------------|----------------------------------------------| | Deal Progress Status | dp_deal_progress_status | Active or Stuck status. | | Deal Progress Details | dp_deal_progress_status_reasoning | Why it's progressing or stalled. | | Customer Intent Status | dp_customer_intent | Low, Medium, or High intent to buy. | | Customer Intent Details | dp_customer_intent_reasoning | Basis for intent rating. | | Competitive Position | dp_competitive_position | Low, Medium, or High win likelihood. | | Competitive Position Details | dp_competitive_position_reasoning | How position was evaluated. | | Sales Performance | dp_sales_performance | Excellent, Good, or Average team rating. | | Sales Performance Details | dp_sales_performance_reasoning | Why the team rated this way. | #### You're all set! That's how easy it was to set up an account with Data Parrot. Within just a few simple steps, you can be up and running with our powerful sales analytics platform. By creating your account and confirming your sales team, you are now ready to take full advantage of all the features and benefits that Data Parrot has to offer. ## Next Steps - **What is Data Parrot**: Learn how Data Parrot helps revenue leaders - **Inspect our Pipeline with Pipeline Time Machine**: Inspect pipeline health with analytics. - **Uncover Key Trends**: Run a trend analysis by pipeline, date range and deal owner to reveal key positive and negative trends across all your deals - **Release Notes**: Explore the latest features and updates If you have a question, need support or have feedback for us, contact us anytime. Start now at app.dataparrot.ai. Learn more at www.dataparrot.ai. ### What is Data Parrot? URL: https://dataparrot.ai/docs/getting-started/what-is-dataparrot Learn how Data Parrot turns messy CRM data into clear revenue insights for sales and revenue leaders, automating analysis and fixing CRM reporting issues. Data Parrot connects to your CRM and digs through raw data to deliver clearer revenue insights for sales and revenue teams. It is built for leaders who need to understand what is happening in their pipeline, deals, and team performance without spending time on manual reports or brittle CRM workarounds. Today Data Parrot supports HubSpot. More CRM support is planned over time. ## Why Does Data Parrot Exist? CRMs promise data-driven decisions, but the underlying data is often scattered, incomplete, or trapped in rigid reporting models. That leaves teams exporting to spreadsheets or chasing people for manual fixes just to answer basic questions like which deals are stalling or what is hurting win rate. Data Parrot is meant to reduce that friction. It turns CRM activity into insight teams can actually use, without asking them to maintain another layer of reporting logic. ## Who Needs This? - **Revenue leaders**: for pipeline reviews, forecasts, and team performance. - **B2B teams**: for clearer reads on long sales cycles and messy CRM data. - **HubSpot users**: for the most complete setup path today. If you are tired of guessing what CRM numbers mean, this is the kind of workflow Data Parrot is built for. ## How It Solves Your Problems 1. **No more manual work**: connect your CRM and let the platform scan activity, meetings, calls, and related context. 2. **Trusted data**: spend less time digging through the CRM to figure out what happened. 3. **Real answers**: see deal health, pipeline movement, and rep patterns more clearly. 4. **Time back**: use insights when they arrive instead of building the same reports repeatedly. Unlike broad analytics platforms, Data Parrot is built for revenue teams rather than data scientists. ## How It Works - **Step 1**: Sign in with your HubSpot account - **Step 2**: Data Parrot sets up the workspace and starts analysis automatically. - **Step 3**: You get dashboards and notifications on pipeline health, deal risk, and growth levers. After connection, the workspace fills in with deal-level views, forecast context, pipeline comparison, and notification surfaces tied to the same operating layer. ## Why It Matters Now Your CRM was supposed to deliver trusted insights to help you grow the business. Instead, it can become a passive database that people dislike updating, while managers end up running manual deal reviews and building forecasts in spreadsheets. Data Parrot is meant to close that gap. It gives revenue teams a faster path to answers, better forecast trust, and less grunt work. ## Next Steps: - **Get Started With Data Parrot**: start the setup path. - **Set up HubSpot**: connect the current primary CRM path. - **Read the Changelog**: see recent product updates and release notes. ### Improve Data Parrot AI URL: https://dataparrot.ai/docs/how-to-guides/improve-data-parrot-ai Improve Data Parrot's AI accuracy by optimizing your HubSpot data. Learn to sync emails, enable meeting transcriptions, and associate contacts properly. Data Parrot does a lot of work automatically to create high quality analysis of your deals. You can see some examples of the AI analysis for Open Deals here and Won/Lost Deals here. There are a few things the team can do to help make the AI even better, and the good news is that it's good CRM practice to do these things anyways! ## 1. Ensure your emails are synced HubSpot generally makes it quite easy to sync your emails to HubSpot. Here are some quick tips: - Ensure you have connected your email account to HubSpot. Learn more here. - Validate the email extension is logged in and working. In your email account, you can validate this by clicking the extension icon and ensuring you are logged in. ## 2. Ensure your meeting transcriptions are enabled Meeting transcription tools are a great way to capture what happened in the Zoom/Teams/Google Meet/etc. meeting. There are many different tools available, and most will have a HubSpot integration. Meeting transcriptions help the Data Parrot AI further understand the deal, plus they help you catch up on what happened in the meeting and ensure you don't miss key details as well. Data Parrot doesn't endorse any particular meeting app, but we do recommend to consider how the HubSpot integration works. - Is the integration automated, or does it need manual intervention? - How does it log the meeting transcription in HubSpot? Some tools log the meeting transcription as a note on the deal, while others log it as a meeting. - Does the entire transcript get logged, or just the key points? Ensure as much of the meeting as possible is logged. - Is the transcription app "trusted" by your customers? - How accurate is the transcription? There are some older apps that are not as accurate as newer ones. - What is the pricing model? Often transcription apps offer free tiers but quickly escalate in price. ## 3. Ensure your contacts and companies are being associated to your deals HubSpot makes it very easy to associate contacts and companies to deals. Often you will have more than one person from the customer involved in your deal. By ensuring they are in HubSpot, and associated to the deal, the AI can better understand the deal. By associating all contacts (and companies) to the deal, you not only help the AI understand the deal, but this also helps your team gain wider visibility into the deal without needing to personally follow up with you. With all relevant contacts associated to the deal and the email integration enabled, emails will automatically be associated to the deal which helps enrich the deal timeline history. Pro Tip: If you associate a contact to a deal after the fact, HubSpot can automatically associate recent engagements to the deal! ## Next Steps - **Learn about Data Parrot AI in HubSpot** - **Learn more about Data Parrot** - **View Your Deals** ### Overview URL: https://dataparrot.ai/docs/how-to-guides Step-by-step guides for getting the most out of Data Parrot. Learn how to run effective deal reviews and improve AI accuracy. Practical guides to help you get the most out of Data Parrot. ## Guides - **How to Improve the Data Parrot AI**. Improve Data Parrot's AI accuracy by optimizing your HubSpot data. Learn to sync emails, enable meeting transcriptions, and associate contacts properly. ### Aircall URL: https://dataparrot.ai/docs/integrations/aircall Connect your Aircall workspace to Data Parrot so call recordings and transcripts are pulled into deal analysis automatically. Connect your Aircall workspace to Data Parrot so call recordings and transcripts can be used to improve AI deal processing and insights. ## Requirements - The **Aircall AI Assist** or **AI Assist Pro** add-on must be active on your Aircall workspace. Without it, Aircall does not share call transcripts with us and we will not be able to bring transcripts into your deal analysis. - If you've just added the AI Assist add-on to your Aircall workspace, it can take up to **24 hours** before transcripts start flowing into Data Parrot. This is a delay on the Aircall side, not in Data Parrot. - Your Aircall workspace should be connected to HubSpot via Aircall's native HubSpot integration so calls are recorded as call engagements on the right deals. ## Install the Aircall Integration Aircall connects via an API ID and API Token rather than an OAuth flow. 1. In Aircall, go to **Dashboard → Integrations → API Keys** and create a new API key. Copy the **API ID** and **API Token**. 2. In Data Parrot, go to Settings → Integrations. 3. Find **Aircall** in the list of available integrations and expand the row. 4. Paste your **API ID** and **API Token** into the form. 5. Click **Connect Aircall**. 6. The Aircall row will switch to **Connected** once your credentials are validated. ## How the Aircall Integration Is Used In the background, Data Parrot uses the connection to: - Pull recent Aircall calls on a regular schedule. - Fetch the AI Assist transcript for each call that has one. - Match each call to the corresponding HubSpot deal using the existing HubSpot ↔ Aircall sync (no extra mapping or configuration is required on your side). - Make the transcripts available to Data Parrot's deal analysis alongside any Zoom and Fathom transcripts you already have connected. Once connected, no additional user actions are required, and your API ID and API Token are stored securely and only used to fetch calls and transcripts on your behalf. ## Disconnect the Aircall Integration 1. Go to Settings → Integrations. 2. Find the **Aircall** integration and expand the row. 3. Click **Disconnect**. After disconnection, Data Parrot will stop pulling new Aircall calls and transcripts. ## Need Help? - **Email**: support@dataparrot.ai ### Fathom URL: https://dataparrot.ai/docs/integrations/fathom Connect Fathom's AI-powered meeting notes and summaries to Data Parrot. Learn how to install the per-user integration and sync meeting insights automatically. Connect Fathom's AI-powered meeting notes and summaries to Data Parrot for comprehensive deal intelligence. ## Overview Improve the Data Parrot AI by connecting the Fathom Integration. Fathom integration works on a per-user basis. Each Data Parrot user needs to connect their own Fathom account in Personal Settings. ## How the Integration Works Due to Fathom's architecture, the integration operates at the individual user level rather than at the organization level. This means: - **Each user maintains their own connection** between Data Parrot and Fathom - **Team administrators** should instruct their team members to install the integration - **Data Parrot users** can easily connect their Fathom account from the Personal Settings page ## Installation Instructions Follow these steps to connect your Fathom account to Data Parrot: 1. Go to your Personal Settings page. 2. Click the "Connect Fathom" button 3. Authorize the connection on Fathom's page 4. Approve the connection in Data Parrot 5. Confirm the connection in Data Parrot 6. The "Connect Fathom" button will now show **"Connected"** to indicate your integration is active. ## Next Steps - Connect Fathom to Data Parrot - Learn about HubSpot Integration - Return to Integrations Overview ## Need Help? If you encounter issues with the Fathom integration, our team is here to help: - **Email**: support@dataparrot.ai ### Overview URL: https://dataparrot.ai/docs/integrations Configure Data Parrot integrations including HubSpot, Zoom, Fathom, and Aircall. Connect your CRM and conversation tools so meeting and call transcripts flow into deal analysis automatically. Use Integrations to connect Data Parrot to your CRM and the conversation tools your team already uses. Once connected, meeting notes, call recordings, and transcripts are pulled into deal analysis automatically. ## Available Integrations ### HubSpot Configure your HubSpot sync settings, manage custom properties, and install the Data Parrot UI Extension to view AI insights directly in HubSpot. - HubSpot Integration → - View Custom Properties → ### Zoom Connect your Zoom organization so meeting transcripts are pulled into deal analysis. Installed once at the workspace level via OAuth. - Zoom Integration → ### Fathom Connect Fathom's AI-powered meeting notes and summaries. Fathom is installed per user, so each Data Parrot user connects their own Fathom account from Personal Settings. - Fathom Integration → ### Aircall Connect your Aircall workspace so call recordings and transcripts are pulled into deal analysis. Calls are matched to HubSpot deals via the existing HubSpot ↔ Aircall sync. Requires the Aircall AI Assist or AI Assist Pro add-on. - Aircall Integration → ## Next Steps - HubSpot Integration → - Zoom Integration → - Fathom Integration → - Aircall Integration → ### Zoom URL: https://dataparrot.ai/docs/integrations/zoom Learn how to install, use, and disconnect the Zoom integration in Data Parrot. Connect your Zoom organization to Data Parrot so meeting transcripts can be used to improve AI deal processing and insights. ## Install the Zoom Integration 1. Go to Settings. 2. Find **Zoom** in the list of available integrations. 3. Click **Connect**. 4. Complete the Zoom authorization flow and approve access. 5. You will be redirected back to Data Parrot with Zoom connected. ## How the Zoom Integration Is Used After authorization, Data Parrot stores the Zoom refresh token for your organization. Data Parrot then uses this connection in the background to pull Zoom meeting transcripts and include them in our AI deal processing. There is no separate Zoom workspace inside Data Parrot. Once connected, no additional user actions are required. ## Disconnect the Zoom Integration 1. Go to Settings. 2. Find the **Zoom** integration. 3. Click **Disconnect**. 4. Confirm the action. After disconnection, Data Parrot will stop pulling new Zoom transcripts. ## Need Help? - **Email**: support@dataparrot.ai ### Overview URL: https://dataparrot.ai/docs/settings Configure Data Parrot settings, users, and integrations. Manage HubSpot sync, team permissions, notification preferences, and subscription options. The Settings page is the control center for managing your Data Parrot account. Use settings to manage the people, integrations, and account details behind your workspace. ## What You Can Manage - **Personal Settings**. Update your profile and adjust your personal preferences. - **User Management**. Add, edit, or remove users and assign roles to control access levels. - **Integrations**. Adjust your HubSpot integration, including Accelerated Sync and pushing Data Parrot AI analysis into HubSpot custom properties. - **Subscription Details**. Review your plan details and manage billing for your workspace. ## Notes - Available settings can vary depending on your plan. - Some configuration options are workspace-wide, while others apply only to an individual user. - For broader product context, see the Research Trends product page. ### Personal Settings URL: https://dataparrot.ai/docs/settings/personal-settings Customize your personal Data Parrot settings including notification preferences, integrations like Fathom, and filter your notifications by pipeline, stage, and deal owner. Use Personal Settings to customize your individual Data Parrot experience. Here you can manage personal integrations, configure notification preferences, and filter which deals appear in your updates. ## Personal Integrations Personal integrations connect third-party tools to your individual Data Parrot account. These integrations are personal and only affect your account - you can manage them yourself without admin permissions. ### Fathom Integration **Fathom** is an AI-powered meeting assistant and note taker that records, transcribes, and summarizes your meetings automatically. Connecting Fathom to Data Parrot enhances the AI by providing additional context from your sales calls and meetings. This helps Data Parrot deliver more accurate insights about your deals. For detailed instructions on connecting Fathom, see the dedicated Fathom Integration Guide. --- ## Notification Settings Configure how and when Data Parrot sends you updates about your sales pipeline, deals, and key trends. ### Email Notifications Data Parrot can send you email summaries on a daily or weekly cadence: - **Daily Email**: Receive a summary every business day with updates on deal changes, pipeline shifts, and key insights - **Weekly Email**: Receive a comprehensive weekly summary every Monday with trends and performance metrics To enable email notifications: 1. Navigate to **Personal Settings** 2. Under **Notification Settings**, check the boxes for **Daily Email** and/or **Weekly Email** 3. Click **Save Changes** at the bottom of the page ### Slack Notifications If your organization has connected Slack, you can receive Data Parrot notifications as direct messages in Slack: - **Daily Slack**: Receive a daily summary DM in Slack - **Weekly Slack**: Receive a weekly summary DM in Slack To enable Slack notifications: 1. Navigate to **Personal Settings** 2. Under **Notification Settings**, check the boxes for **Daily Slack** and/or **Weekly Slack** 3. Click **Save Changes** at the bottom of the page --- ## Filter My Notifications By default, Data Parrot includes all deals in your notifications. You can use filters to receive notifications only about specific deals that matter most to you. ### Enabling Notification Filters 1. Navigate to **Personal Settings** 2. Under **Notification Settings**, toggle **Filter my notifications** to ON 3. Configure your filters (see below) 4. Click **Save Changes** --- ## Related Pages - User Management - Admins can manage team access and permissions - Integrations - Organization-wide integrations like Slack and HubSpot - Subscription Details - Manage your billing and plan --- ## Need Help? If you can't find what you're looking for or need assistance with your Personal Settings, reach out to our support team. ### Subscription Details URL: https://dataparrot.ai/docs/settings/subscription-details Manage your Data Parrot subscription, including upgrading plans, managing your billing, and reviewing your plan details. The Subscription Details tab shows different things depending on whether you are on the free Starter plan or a paid plan (Pro or Max). ## Choosing a Plan (Starter) If you are on the **Starter** (free) plan, the Subscription Details tab shows the available plans side by side: **Starter**, **Pro**, and **Max**. Each plan card lists what is included and what is locked behind a paid plan. Click **Get started** under Pro or Max to begin checkout. This takes you to a checkout page where you can pick your billing term, set the number of seats, and pay. ## Managing your Subscription (Pro or Max) If you are on a paid plan (Pro or Max), the Subscription Details tab shows your current plan and billing term, an **Adjust your plan** area for upgrades, and buttons for switching billing cadence, managing seats, and managing billing. The page includes: - **Current plan**: your current plan name (e.g. Pro) and billing term (e.g. Billed monthly). - **Adjust your plan**: if an upgrade is available, an upgrade card shows the higher tier with Monthly and Yearly pricing, what is included, and an **Upgrade** button. - **Switch to yearly billing**: swaps your billing term from monthly to yearly. Yearly billing discounts the price. - **Manage Seats**: opens the Manage Seats dialog. Use the + and − controls to set the total number of seats, see how many are currently in use, and click **Update Seats** to apply. Changes are pro-rated on your next invoice. - **Manage Billing**: opens the billing portal in a new tab. From there you can update your payment method, view and download invoices, and review your billing history. ### User Management URL: https://dataparrot.ai/docs/settings/user-management Add, edit, or remove users and assign roles to control access levels. Manage your Data Parrot account settings and integrations. ## Workspace Users The User Management tab is where administrators control team access, notification preferences, and notification filters for everyone in your workspace. The page header has an **Add User** button. The **Workspace Users** table lists every user in your workspace with their Email Notifications, Slack Notifications, and notification Filters at a glance. Use the pencil icon in the Actions column to edit a user, or the trash icon to remove them. ## Adding / Updating Users Click the **Add User** button to open the Add User dialog. Pick a user from the **Select User** dropdown. This is a list of your HubSpot users, so they must already exist in HubSpot to be added to Data Parrot. **Very Important: Any user of Data Parrot can see all data from HubSpot. This is common in HubSpot: all users can see everything, but it is important to know that this is the case.** *Note: If they were just added to HubSpot, the users should show up in Data Parrot shortly after.* Configuration Options: - **Admin**: toggle to make the user an administrator. Administrators can add and manage other users. - **Email Notifications**: toggle Daily Email and Weekly Email independently. - **Slack Notifications**: toggle Daily Slack and Weekly Slack. Slack notifications require Slack to be connected in Integrations. - **Notification Filters → Deal Owners**: limit this user's notifications to specific Deal Owners. - **Notification Filters → Pipeline & Stage Filters**: limit this user's notifications to specific Pipelines and Stages. The notification filters apply to both the daily and weekly notifications (Email and Slack). *Note: If you add a user beyond your purchased seat count, the additional seat will be pro-rated on the next invoice in the billing cycle.* ### Data Parrot Win/Loss URL: https://dataparrot.ai/docs/features/win-loss Data Parrot has two versions of Win/Loss analysis: Win/Loss Pro and Win/Loss Max. Use the guide for the version included in your plan. ## Data Parrot helps you understand why you win and lose Data Parrot reads the emails, calls, meetings, transcripts, and other activity connected to your closed won and closed lost deals. It uses that activity to help you understand what helped deals close, what caused deals to fall apart, and what your team should do more or less of. Data Parrot has two versions of Win/Loss analysis: **Win/Loss Pro** and **Win/Loss Max**. ## Win/Loss availability by Data Parrot version | Data Parrot version | Win/Loss included? | What you get | | --- | --- | --- | | Starter | No | Win/Loss analysis is not included in Starter. | | Pro | Yes | An AI-written summary for each won or lost deal, plus a table to filter, search, export, and open individual deals. | | Max | Yes | A team-level win/loss analysis that finds the top signals across your won and lost deals, so you know what to repeat, what to fix, and which deals prove it. | ## Choose the help guide for your plan - Read the Win/Loss Pro help guide if your company is on Data Parrot Pro. - Read the Win/Loss Max help guide if your company is on Data Parrot Max. - Check your plan in Subscription Settings if you are not sure which version your company has. If you have questions about your plan or need help, contact Data Parrot support. ## Links - How to Improve the Data Parrot AI - Customer Health - AI Forecast ### Win/Loss Max URL: https://dataparrot.ai/docs/features/win-loss/max Use Win/Loss Max to find signals in won and lost HubSpot deals, compare them by deal count or deal amount, and review the matching deals. Win/Loss Max helps you understand why your team wins deals and why it loses them. It reviews closed-won and closed-lost HubSpot deals, looks at the activity connected to those deals, and surfaces the repeated signals that show up across them. Data Parrot uses calls, meetings, emails, transcripts, and other deal timeline activity to find those signals automatically. You do not need to set up an agent, create a fixed reason list, or depend only on a sales rep choosing a dropdown value in HubSpot. Use this page when you want to answer questions like: - Why are we losing deals? - What shows up in our best wins? - Which sales behaviors should we coach? - Which customer problems should marketing use in campaigns? - Which deal signals may point to forecast risk? - Which buyer roles, urgent events, or process delays keep showing up? Win/Loss Max is not only a report of what happened. Use it to turn closed-deal history into better sales training, qualification, ICP work, marketing campaigns, forecast reviews, and enablement. ## Key Definitions Win/Loss Max uses a few product terms. These definitions matter because the rest of the page refers to the selected signal for a category. | Term | What it means | How to use it | | --- | --- | --- | | Category | A fixed section of Win/Loss Max that covers one part of win/loss analysis. | Choose a category such as Top Reasons, Sales Motions, or Pain Points. | | Signal | A repeated reason, theme, behavior, blocker, assist, pain point, event, stakeholder pattern, or friction point found across deals. | Treat signals as the common themes Data Parrot found in your deal history. Signals are created automatically and are specific to your business. | | Main driver | The primary signal tied to the deal result. | Start here when deciding what to fix, repeat, coach, or investigate first. | | Influenced | A signal that appeared in or contributed to the deal context, even if it was not the main driver. | Use this to see how often the same signal appears around other deals. | Top Reasons uses Data Parrot's standard win/loss reason categories, such as Product, Value, Technical, Security & Compliance, Delivery, Trust, Price & Terms, Process & Timing, Stakeholder Management, Alternatives, Context, and Sales Experience. The other categories use signals Data Parrot generates from your actual deals. ## How to use Win/Loss Max Win/Loss Max has four main parts: 1. **Filters and Won/Lost selector**: choose the closed deals you want to review. 2. **Categories**: choose the type of signal you want to inspect. 3. **Signal list**: see the signals Data Parrot found for the selected deals and category. 4. **Deal table**: review the matching deals for the selected signal. ## How to Filter Start by choosing **Won** or **Lost**. This changes the closed deals shown on the page. Choose **Won** to review closed-won deals. Choose **Lost** to review closed-lost deals. Use the same filters on each view when you want to compare wins and losses. Then use the filter bar to narrow the set of closed deals shown on the page. Common filters include: - **Date range**: review all closed deals, a recent month, a quarter, six months, a year, or a custom range. - **Pipeline**: filter your deals by a specific pipeline. - **Owner**: review one rep, a group of reps, or the full team. - **More Filters**: filter by supported custom properties from your HubSpot portal, limited to lookup and dropdown properties. Use the # and $ controls to sort the signal list: - # ranks signals by deal count. - $ ranks signals by deal amount. ## Select a Category Categories are the fixed sections Data Parrot uses to organize Win/Loss Max. Select a category to show the signals Data Parrot found for that part of the deal. The categories are pre-defined by Data Parrot. The signals inside each category are personalized to your business. ### Won Categories | Category | What it tells you | When to use it | Decisions it can inform | | --- | --- | --- | --- | | Top Reasons | The standard reason category Data Parrot assigned to won deals. | Use it when you want a quick read on the main reasons deals were won. | Sales messaging, enablement, supporting examples, pricing and packaging review. | | Sales Motions | Sales behaviors and execution details that appeared in won deals. | Use it when you want to know what reps did well. | Coaching, call review, onboarding, playbooks, manager 1:1s. | | Internal Assists | Internal help that supported won deals. | Use it when you want to see which internal resources supported wins. | Deal support process, executive involvement, product support, reference strategy. | | Pain Points | Customer problems the deal was trying to solve. | Use it when you want to know which problems are tied to wins. | ICP, qualification, website copy, campaigns, case study topics. | | Compelling Events | Urgency, deadlines, or business events that helped move the deal forward. | Use it when you want to know why buyers acted now. | Campaign timing, outbound triggers, forecast review, opportunity qualification. | | Stakeholders | Buyer roles and buying committee dynamics that mattered in won deals. | Use it when you want to know who needs to be involved. | Multi-threading, champion development, executive alignment, sales process design. | | Customer Friction | Buying-process friction that showed up even in won deals. | Use it when you want to find delays or risks that did not stop the deal but still slowed it down. | Forecast risk, approval process fixes, implementation readiness, sales cycle reduction. | ### Lost Categories | Category | What it tells you | When to use it | Decisions it can inform | | --- | --- | --- | --- | | Top Reasons | The standard reason category Data Parrot assigned to lost deals. | Use it when you want a quick read on the main reasons deals were lost. | Loss review, packaging review, competitive review, sales process changes. | | Sales Motions | Sales behaviors and execution details that appeared in lost deals. | Use it when you want to find execution gaps. | Coaching, call review, discovery quality, follow-up expectations, playbook updates. | | Internal Blockers | Internal issues that contributed to lost deals. | Use it when you want to find problems your team can fix internally. | Product escalation, legal or security process, technical support, handoff quality. | | Pain Points | Customer problems the deal was trying to solve. | Use it when you want to know whether poor-fit deals share certain pain points. | ICP, qualification, segment strategy, campaign exclusions, messaging changes. | | Compelling Events | Urgency, deadlines, or business events that shaped lost deals. | Use it when you want to know whether timing worked against the team. | Qualification, forecast review, campaign timing, urgency creation. | | Stakeholders | Buyer roles and buying committee dynamics that mattered in lost deals. | Use it when you want to find stakeholder gaps. | Multi-threading, executive alignment, champion inspection, procurement handling. | | Customer Friction | Friction the customer experienced during their buying process that held up the sales cycle. | Use it when you want to find delays, approval problems, missing evidence, or forecast risk. | Sales cycle reduction, deal risk review, approval planning, implementation readiness. | Most reviews use more than one category. For example, a sales cycle problem may show up in Customer Friction, Stakeholders, and Internal Blockers. An ICP problem may show up in Pain Points, Compelling Events, and Top Reasons. ## Viewing the Most Common Signals After you choose a category, the left side of the page lists the signals Data Parrot found in the selected deals. The list is sorted by deal amount or deal count, based on the # / $ control in the filter bar. Each signal shows two rows: | Row | What it means | How to use it | | --- | --- | --- | | Main driver | Deals where this was the primary signal for the selected category. | Use this when deciding what to fix, repeat, coach, or investigate first. | | Influenced | Deals where this signal appeared in the deal context, even if it was not the main driver. | Use this when checking whether the same signal appears around more deals. | Use Main driver to prioritize. Use Influenced to understand whether the signal is isolated or common enough to deserve more attention. If an Internal Blocker has a high Main driver count or amount, inspect it. If a Sales Motion has a high Main driver count or amount in won deals, it may be something the team should repeat more often. ## How to Inspect the Deals Behind the Signal Select a signal to update the deal table on the right. The signal list tells you what Data Parrot found. The deal table shows the matching deals so you can inspect the details. Use the table to review: - **Signal Summary**: a short explanation of how the signal showed up in that deal. - **Signal Details**: the supporting detail from the deal review. - Whether the signal was Main driver or Influenced for the deal. - Amount, close date, owner, and other available deal fields. In the deal table you can: - Sort by clicking a column header. - Reorder columns by dragging them. - Search by deal name. - Use the column picker to add or remove columns. - Click the HubSpot icon to open the deal in HubSpot. - Click a row to open the deal page in Data Parrot. ## Inspect a Single Won or Lost Deal From the deal table, you can click any deal row to open the Data Parrot deal page to see the entire analysis for the won or lost deal. The Won / Lost deal page shows the full won or lost analysis for the selected deal, including: - Overall Summary - Most Surprising Impact - Key Reasons - "Our Performance", which includes Sales Motions, Internal Assists, and Internal Blockers - "Customer Profile", which includes Compelling Events, Pain Points, Stakeholders, and Customer Friction ## How Sales Leaders use Win/Loss Max Win/Loss Max helps Sales Leaders turn deal post-mortems into team coaching, internal process changes, qualification rules, sales enablement and forecast judgment. | Goal | Look at | Start with | How to use it | | --- | --- | --- | --- | | Improve sales training and enablement | Won and Lost | Sales Motions, Top Reasons, Stakeholders | Compare what shows up in won deals against what breaks down in lost deals. Turn repeated signals into coaching topics, call review themes, manager 1:1 prompts, and enablement material. | | Understand why deals are being lost | Lost | Top Reasons, Internal Blockers, Sales Motions, Customer Friction | Use # to find frequent issues and $ to find expensive issues. Review the deal table behind top signals before deciding whether the issue is messaging, qualification, process, product fit, or execution. | | Improve ICP and qualification | Won and Lost | Pain Points, Stakeholders, Compelling Events | Compare which customer pains, buyer roles, and urgency signals show up in strong wins versus poor-fit losses. Use the differences to tighten qualification, routing, and account targeting. | | Find what slows down the sales cycle | Won and Lost | Customer Friction, Internal Blockers | Look for approval delays, buying-process friction, and internal handoff issues. Use those signals to handle risk earlier in the sales process. | | Improve forecast accuracy | Won and Lost | Customer Friction, Compelling Events, Stakeholders | Use historical delay, urgency, and stakeholder signals to pressure-test open pipeline. If a current deal has signals that often appeared in lost or delayed deals, review the forecast commit more carefully. | ## How Marketing Teams use Win/Loss Max Marketing teams can use Win/Loss Max to connect HubSpot deal history to campaign planning, website messaging, case studies, and ICP optimization. | Goal | Look at | Start with | How to use it | | --- | --- | --- | --- | | Improve ad targeting & conversions | Won | Pain Points, Compelling Events | Use repeated customer problems, urgency triggers, and buying reasons from won deals to identify ad group themes, keyword ideas, landing-page tests, and offer tests. | | Decide which case studies to write | Won | Top Reasons, Pain Points, Compelling Events | Look for won-deal signals tied to important segments or large deal amounts. Choose stories that prove a common buyer problem, urgency trigger, or language that customers use. | | Improve ICP targeting | Won | Pain Points, Stakeholders, Compelling Events | Use won-deal signals to define what good-fit customers have in common, including the problems they care about, the roles involved, and the events that create urgency. | | Improve website and landing-page messaging | Won | Pain Points, Top Reasons, Compelling Events, Stakeholders | Use won-deal language and repeated reasons to sharpen headlines, supporting evidence, segment pages, and objection handling. | | Help support the sales function | Lost | Internal Blockers | Review internal blockers that delayed sales cycles or contributed to losses. Use them to decide where marketing can help with customer examples, case studies, competitive material, objection handling, or better sales collateral. | ## How Product Leaders use Win/Loss Max Product leaders can use Win/Loss Max to see where product helped deals close, where product gaps cost deals, and which customer problems should inform roadmap discussion. | Goal | Look at | Start with | How to use it | | --- | --- | --- | --- | | See where product helped win deals | Won | Top Reasons -> Product | Select won deals, open Top Reasons, and review the pre-defined Product signal. Use the matching deals to see which product capabilities, workflows, or fit points helped deals close. | | See where product cost deals | Lost | Top Reasons -> Product, Internal Blockers | Select lost deals, open Top Reasons, and review the pre-defined Product signal. Then check Internal Blockers to see whether product gaps, missing technical support, roadmap limits, or implementation concerns contributed to losses. | | Find roadmap themes from closed deals | Won and Lost | Top Reasons -> Product, Pain Points | Use won deals to see which product capabilities customers valued. Use lost deals to see where product gaps or missing fit blocked revenue. Compare both against Pain Points so roadmap discussion stays tied to real customer problems. | #### FAQ ##### What does Win/Loss Max show? Win/Loss Max shows the repeated signals Data Parrot found across closed-won and closed-lost HubSpot deals, how many deals are connected to each signal, the total deal amount connected to each signal, and the matching deals. ##### What is a signal in Win/Loss Max? A signal is a repeated reason, theme, behavior, blocker, assist, pain point, event, stakeholder pattern, or friction point found across deals. ##### Do I need to configure the signals? No. Data Parrot creates signals automatically from your connected HubSpot deal activity. You do not need to set up an agent, build a reason list, or tag deals by hand. ##### How do I see why HubSpot deals were lost? Select Lost, set the date range, pipeline, owner, and other available filters, then review categories such as Top Reasons, Internal Blockers, Sales Motions, and Customer Friction. ##### Can I review why deals were won? Yes. Select Won, set the filters, then review categories such as Top Reasons, Sales Motions, Internal Assists, Pain Points, Compelling Events, Stakeholders, and Customer Friction. ##### How do I use HubSpot data to improve sales training? Compare Won and Lost deals in Sales Motions, Top Reasons, and Stakeholders. Use repeated signals as coaching topics, call review themes, manager 1:1 prompts, and enablement material. ##### How do I use win/loss analysis to improve ICP? Compare Won and Lost deals in Pain Points, Stakeholders, and Compelling Events. Look for the problems, buyer roles, and urgency signals that show up in strong wins but not in poor-fit losses. ##### How do I find what slows down the sales cycle? Review Customer Friction, Stakeholders, and Internal Blockers. These categories help identify buying-process delays, missing stakeholders, approval issues, and internal handoff problems. ##### How can marketing use Win/Loss Max? Marketing teams can use won-deal pain points, compelling events, buyer roles, and win reasons to shape ad themes, landing-page copy, case study choices, segment pages, and sales-support material. ##### Can I open a single deal review? Yes. Click a deal row in the table to open the Data Parrot deal page for the selected won or lost deal. ##### How can product leaders use Win/Loss Max? Product leaders can use the Product signal under Top Reasons to see where product helped deals close, where product gaps cost deals, and which customer problems should inform roadmap discussion. ##### What is the difference between # and $? # sorts signals by deal count. $ sorts signals by deal amount. ##### What do Main driver and Influenced mean? Main driver means the selected signal was the primary signal tied to the deal result. Influenced means the signal appeared in or contributed to the deal context, even if it was not the main driver. ##### Can I filter by owner, pipeline, or timeframe? Yes. Use the filter bar to narrow closed deals by owner, pipeline, date range, and other supported fields available in your workspace. ##### How is this different from a HubSpot closed-lost reason report? A HubSpot closed-lost reason report depends on CRM fields. Win/Loss Max reviews connected deal activity, finds signals automatically, and shows the matching deals for each signal. ### Win/Loss Pro URL: https://dataparrot.ai/docs/features/win-loss/pro Use Win/Loss Pro to review closed-won and closed-lost deals, primary win/loss reasons, filters, charts, columns, search, export, and deal links. Win/Loss Pro is the closed-deal review page for Pro customers. It shows won and lost deals, the primary reason for each deal, and the deal fields needed for a team review. ## Filter the deal list Use the filters at the top of the page to narrow the deals you want to review. Filters can include owners, teams, pipelines, and other deal fields available in your workspace. Use the **Won** and **Lost** toggle to switch between closed-won and closed-lost deals. The table updates when you switch between Won and Lost. Use the timeframe control to review all deals or focus on a recent period such as the last month, quarter, six months, or year. ## Read the chart and table The chart summarizes the currently selected deals. Use it to spot the reasons in the selected deals before you review individual rows. The table shows each matching deal with its amount, close date, owner, headline, and primary reason. Sort the table by clicking a column header. ## Adjust the columns Use the column picker to show, hide, or reorder table columns. This is useful when different review meetings need different fields. ## Search and export Use search to find a deal, owner, pipeline, headline, or reason inside the current view. Use export when you need the current table in CSV format for a meeting, spreadsheet, or offline review. ## Open a deal Click a deal row to open the deal page in Data Parrot. Use this when the table gives you the summary and you need the full deal context. ## When to use Win/Loss Pro Use Win/Loss Pro for a direct review of closed deals and primary win/loss reasons. If your page shows signal tabs, signal counts, Main driver, Influenced, and a deal table for each signal, use Win/Loss Max instead. #### FAQ ##### Can I export closed won or closed lost deals? Yes. Use the Won or Lost toggle and filters to choose the closed deals you want, then export the current table to CSV. ##### When should I use Win/Loss Pro instead of Win/Loss Max? Use Win/Loss Pro when you need a direct table of closed deals, primary win/loss reasons, filters, search, export, and deal links. Use Win/Loss Max when you need signal tabs, signal counts, Main driver, Influenced, and a deal table for each signal. ### Install UI Extension URL: https://dataparrot.ai/docs/integrations/hubspot/how-to-add-data-parrot-hubspot-ui-extension Complete guide to Data Parrot's HubSpot integration. Configure sync settings, install UI extension, and manage custom properties for AI-powered insights. ## Add the Data Parrot Card directly on your HubSpot Deal Data Parrot has a HubSpot UI Extension that allows you to add the Data Parrot card directly on your HubSpot Deal both in the main panel and the sidebar. There are two ways to install the Data Parrot card in HubSpot: 1. **Easy/fast method** - Use HubSpot's Connected Apps interface 2. **Custom placement** - More control over card location The Data Parrot card will appear and show the AI analysis right on the Deal form in HubSpot for all Data Parrot users. ### What the Data Parrot card enables - View Data Parrot insights directly inside HubSpot Deal records - Access AI-powered deal health, signals, and next steps without leaving HubSpot - Share AI insights with Data Parrot users in HubSpot - Place the card on the Overview tab or create a dedicated "Data Parrot" tab for focus ### Easy/Fast Install Instructions The fastest method to install the Data Parrot card uses HubSpot's Connected Apps interface, providing a more streamlined setup process. Follow these steps: #### 1. Navigate to HubSpot Settings Click the gear icon ⚙️ in the top right corner of HubSpot to access Settings. #### 2. Go to Integrations → Connected Apps In the Settings menu, navigate to **Integrations** → **Connected Apps** to view all your installed applications. #### 3. Find and Select Data Parrot In the Connected Apps list, locate **Data Parrot** and click on it to access the app settings. #### 4. Navigate to App Cards Within the Data Parrot settings, select the **App Cards** tab to configure which cards appear in your HubSpot deal views. #### 5. Configure Card Placement Click on "Manage Locations" and choose where you want the Data Parrot card to appear: - **Main Panel**: Add cards to the main deal view - **Deal Sidebar**: Add compact cards to the right sidebar - **Custom Tabs**: Create a dedicated Data Parrot tab for focused insights Once configured, the Data Parrot card will automatically appear in your deal records with AI-powered insights. ### Custom Card Placement Install Instructions #### 1. Add the card to your HubSpot Deal view Add the Data Parrot card to the Deal view your team uses. 1. Click the gear icon in the top right corner of the navigation bar in HubSpot. 2. Go to Data Management → Deals → Record Customization and click the view you want to edit (e.g., Default view). #### Optional: Create a "Data Parrot" tab Within the view editor, you can add a new tab named Data Parrot to keep insights organized. #### 1.1 Add the Data Parrot card to the main deal view - Click Add card on the row where you want the card to appear - In the Card Library, select Data Parrot - Save your changes, then navigate back to a Deal #### 1.2 Add the Data Parrot card to the sidebar tab - Click Add card on the row where you want the card to appear - In the Card Library, select Data Parrot Sidebar - Save your changes, then navigate back to a Deal - Configure the sidebar card to show the sections you want to see ### Configuration URL: https://dataparrot.ai/docs/integrations/hubspot/hubspot-configuration Configure Data Parrot's HubSpot integration. Set up account connection, accelerated sync, and push AI analysis to HubSpot custom properties. Data Parrot integrates with HubSpot to provide AI-powered insights directly in your CRM. Here we cover how to: - connect your HubSpot account - accelerate the sync frequency - add AI analysis to custom properties ## How to Connect Your HubSpot Account Data Parrot uses your HubSpot account for authentication, which means when you create a Data Parrot account, you will automatically connect your HubSpot account. No separate login is needed. Simply use your HubSpot credentials to log in to Data Parrot. If you do not have enough permissions to connect your HubSpot account, you can ask your HubSpot administrator to connect your account for you. Once connected, Data Parrot will automatically provide AI-powered insights on your Data Parrot Plan. In Integrations, you can modify the HubSpot integration to enable accelerated syncs and push the AI analysis to HubSpot custom properties. ### How to Accelerate the Sync Frequency Available in Integrations, Accelerated Sync is a feature that allows you to update Data Parrot every 5 minutes for 2 hours. This is useful if you need to see the most up-to-date information in Data Parrot. However, this will not automatically update the AI Analysis. This runs daily, currently at 11:59 PM EST. You can manually trigger a recalculation of the AI Analysis by clicking the "Recalculate" button in the Data Parrot card on the Deal form in HubSpot. Here you can also see the last time that Data Parrot was updated by HubSpot. ### How to Push the AI Analysis to HubSpot Custom Properties The Push to HubSpot feature automatically creates custom properties in your HubSpot instance for the Data Parrot Deal AI Analysis. This enables you to add the Data Parrot AI analysis to your deal cards, views, reports, workflows, lists and more in HubSpot. While the Data Parrot Card allows you to see the AI analysis in HubSpot, the Push to HubSpot feature allows you to integrate the AI analysis into your HubSpot workflows and automations. You can choose which categories of AI Analysis to push to HubSpot including: - **Deal Health**: Overall deal health properties. - **Deal Hygiene**: Deal hygiene properties. - **Deal Signals**: Detailed deal signals properties. The specific property name details are available on the Custom Properties page. Notes: - You can change the custom property labels after creation in HubSpot without any impact on Data Parrot. - You can also see the last time the data was sent to your HubSpot instance. - Accelerated sync does not impact how often the AI analysis is synced to HubSpot. This runs daily, currently at 11:59 PM EST. When the custom properties are created in HubSpot, we recommend you add them to your deal cards, views, and reports! View HubSpot custom property names here: HubSpot Custom Properties ## Chat Integrations This is where you can connect your Slack instance to Data Parrot. This is not yet available, but will be soon. Microsoft Teams is also on the roadmap. Lastly, you can also see your Data Parrot Wrapped for 2024, a summary of your 2024 year in Data Parrot. ## Other Integrations Data Parrot has many integrations in the works including Salesforce, Microsoft Teams, Google Docs, and more. Click here to learn more about Data Parrot Integrations. --- ## Next Steps - **Install the HubSpot UI Extension**: Add the Data Parrot card to your HubSpot deals for AI insights without leaving HubSpot - **View Custom Properties Details**: See all properties Data Parrot can push to HubSpot - **Explore Deals**: Learn about deal reviews in the main Data Parrot app - **Get Support**: Need help? Contact our team ### Custom Properties URL: https://dataparrot.ai/docs/integrations/hubspot/hubspot-custom-properties Complete reference for Data Parrot custom properties created in HubSpot. Deal health, hygiene, and signals properties. This is a complete reference for the custom properties Data Parrot creates in your HubSpot instance. The following properties are created in HubSpot when you activate Push to HubSpot. ### Deal Health Properties | Label | HubSpot Property Name | Description | |-------|---------------------|-------------| | Data Parrot Deal Health Status | dp_overall_deal_health_score | Single word description of Deal Health, such as Low, Medium, High. | | Data Parrot Deal Health Details | dp_overall_deal_health_reasoning | Explanation of Deal Health status. | | Data Parrot Forecast Category | dp_forecast_category | Description of how deal should be categorized for forecasting purposes. | | Data Parrot Deal Forecast Category Details | dp_forecast_category_reasoning | Explanation of Forecast Category categorization. | | Data Parrot Deal Next Steps | dp_next_best_action | Recommended actions to take for the deal. | | Data Parrot Deal Summary | dp_deal_summation | Overall summary of deal factoring in all metrics. | ### Deal Hygiene Properties | Label | HubSpot Property Name | Description | |-------|---------------------|-------------| | Data Parrot Close Date Confidence | dp_close_date_confidence | Description of confidence in the accuracy of Close Date, such as Low, Medium, High. | | Data Parrot Close Date Confidence Detail | dp_close_date_confidence_reasoning | Details on how Close Date Confidence was determined. | | Data Parrot Suggested Close Date | dp_suggested_close_date | Recommended Close Date based on factoring in all deal details. | | Data Parrot Deal Stage Confidence | dp_deal_stage_confidence | Description of confidence in the accuracy of the Deal's current stage, such as Low, Medium, High. | | Data Parrot Deal Stage Confidence Detail | dp_deal_stage_confidence_reasoning | Details on how Deal Stage Confidence was determined. | ### Deal Signals Properties | Label | HubSpot Property Name | Description | |-------|---------------------|-------------| | Data Parrot Deal Progress Status | dp_deal_progress_status | Description of progress status, such as Active or Stuck. | | Data Parrot Deal Progress Details | dp_deal_progress_status_reasoning | Details on how the Deal Progress Status was determined. | | Data Parrot Customer Intent Status | dp_customer_intent | Description of the customer's intent to purchase, such as Low, Medium, High. | | Data Parrot Customer Intent Details | dp_customer_intent_reasoning | Details on how Customer Intent Status was determined. | | Data Parrot Deal Competitive Position | dp_competitive_position | Description of chances of winning deal, such as Low, Medium, High. | | Data Parrot Deal Competitive Position Details | dp_competitive_position_reasoning | Details on how Competitive Position was determined. | | Data Parrot Sales Performance | dp_sales_performance | Description of performance by Sales Team, such as Excellent, Good, Average. | | Data Parrot Sales Performance Details | dp_sales_performance_reasoning | Details on how Sales Performance was determined. | ## Next Steps - HubSpot Integration → - Return to Integrations Overview ### UI Extension Guide URL: https://dataparrot.ai/docs/integrations/hubspot/hubspot-ui-extension-guide Complete guide to the Data Parrot HubSpot UI Extension. Learn about deal health insights, AI chat, task creation, recalculation, sidebar customization, win/loss analysis, and all card features. ## What is the Data Parrot Card? The Data Parrot HubSpot UI Extension brings AI-powered sales intelligence directly into your HubSpot deal records. Instead of switching between Data Parrot and HubSpot, you can view deal health, get AI recommendations, chat with your deals, and take action, all without leaving HubSpot. ### Two Card Options Data Parrot offers two card types to fit your workflow: 1. **Main Panel Card** - A comprehensive view with full deal insights, AI chat, and action buttons. Perfect for deep deal analysis. 2. **Sidebar Card** - A compact, customizable quick-view for at-a-glance insights while you work in HubSpot. ### Key Capabilities - **AI Deal Analysis**: See deal health, purchase intent, and confidence scores - **Smart Recommendations**: Get AI-suggested next best actions - **Conversational AI**: Ask questions about any deal and get instant answers - **Task Creation**: Convert AI suggestions into HubSpot tasks with one click - **Real-Time Updates**: Recalculate insights in seconds after deal changes - **Win/Loss Intelligence**: Understand why deals were won or lost ## Understanding the Main Panel Card Once installed, the main panel card provides comprehensive AI insights about your deals. Here's what each section shows: ### Deal Health & Insights The top section displays key AI assessments with color-coded indicators: #### Overall Deal Health Shows whether your deal is on track, at risk, or in trouble: - **Green (High)**: Deal is healthy with strong signals - **Yellow (Medium)**: Deal needs attention or has some concerns - **Red (Low)**: Deal is at risk or showing warning signs Click to expand and see the AI's reasoning behind the health assessment. #### Progress Status Indicates how the deal is moving through your pipeline: - **Progressing**: Deal is advancing with good momentum - **Stalled**: Deal movement has slowed down - **Stuck**: Deal hasn't progressed in a while #### Purchase Intent AI assessment of how likely the prospect is to buy. Higher purchase intent means stronger buying signals detected in communications and activities. #### Chance of Winning Data Parrot's prediction of your likelihood to close this deal based on historical patterns, engagement quality, and deal characteristics. #### Stage Confidence How confident the AI is that the deal is correctly placed in its current pipeline stage. Low confidence might suggest the deal should be in a different stage. #### Close Date Confidence AI's confidence level in the current close date. Low confidence may indicate the close date needs adjustment based on deal velocity and activities. #### Salesperson Performance Assessment of how well the rep is managing this deal compared to best practices and historical successful deals. ### Deal Summary An AI-generated narrative that explains what's happening with the deal in plain language. This summary synthesizes all the insights into an easy-to-read paragraph. ### Signals Key signals detected in your deal activities, communications, and data that impact deal health. These might include: - Engagement patterns with decision-makers - Communication frequency changes - Meeting attendance and participation - Response times and quality - Stakeholder involvement ### Hygiene Data quality and completeness indicators showing: - Missing or incomplete deal information - Data freshness and accuracy - Required fields that need attention - Recommended property updates ### Suggestions AI-suggested actions to move the deal forward, based on current deal state and successful patterns from similar deals. Each suggestion: - Explains why the action is recommended - Can be converted to a HubSpot task with one click - Is prioritized by likely impact ## Understanding the Sidebar Card The sidebar card offers a compact, at-a-glance view of deal insights while you work in HubSpot. It's perfect for quickly checking deal health without opening the full card. ### What the Sidebar Shows You can customize which metrics appear in your sidebar. Available sections include: - **Summary**: Quick AI-generated deal overview - **Overall Health**: Color-coded health indicator with score - **Progress Status**: Whether the deal is progressing, stalled, or stuck - **Purchase Intent**: Likelihood to buy assessment - **Stage Confidence**: Confidence in current pipeline stage - **Close Date Confidence**: Confidence in projected close date - **Sales Performance**: Rep performance on this deal ### Customizing Your Card Click the gear icon (⚙️) for main panel card and the "Settings" button for the sidebar card to configure which sections appear: 1. Toggle sections on/off based on what matters most to you 2. Click "Save" to apply your preferences 3. Your settings are saved per user and apply across all deals ## Key Features ### Chat with AI About This Deal The AI chat feature lets you have conversations about your deal and get instant answers. ### Create Tasks from AI Suggestions Convert AI recommendations into actionable HubSpot tasks with one click: ### Recalculate Deal Insights Get fresh AI insights in 5-15 seconds whenever you need them. The recalculate feature triggers a new analysis using the latest deal data. **How it works:** 1. Click the refresh icon (🔄) in the top-right corner of the Data Parrot card 2. The system analyzes the latest deal information, activities, and engagements 3. New insights appear within 5-15 seconds, replacing the previous analysis 4. A progress bar shows recalculation status ### Provide Feedback on AI Insights Rate the AI feedback directly from the HubSpot card. Your rating helps us improve the product experience. **How to provide feedback:** 1. Look for the thumbs up 👍 and thumbs down 👎 buttons in the top-right corner of the Data Parrot card 2. Click the appropriate button based on how helpful the insights were 3. Optionally, add specific feedback in the text box that appears 4. Click "Submit" to send your feedback to our team ## Win/Loss Analysis for Closed Deals When a deal closes (won or lost), the Data Parrot card shows specialized win/loss intelligence to help you learn from outcomes. ### What You See on Closed Deals **For Won Deals:** - Data Parrot AI-generated summary explaining why the deal was won - **Win Reasons**: Ranked list of factors that contributed to the win - Click to expand for detailed explanation - Higher confidence = stronger evidence for that reason - Key success patterns identified **For Lost Deals:** - Data Parrot AI-generated summary explaining why the deal was lost - **Loss Reasons**: Ranked list of factors that led to the loss - Click to expand for detailed explanation - Helps identify what to improve for future deals - Areas for improvement --- ## Next Steps - **Configure HubSpot Integration**: Set up sync settings and custom properties - **View Custom Properties**: See all properties Data Parrot can push to HubSpot - **Explore Deals**: Learn about deal reviews in the main Data Parrot app - **Get Support**: Need help? Contact our team ### Overview URL: https://dataparrot.ai/docs/integrations/hubspot Complete guide to Data Parrot's HubSpot integration. Configure sync settings, install the UI extension, and manage custom properties for AI-powered deal insights. Data Parrot integrates deeply with HubSpot to provide AI-powered deal insights directly in your CRM. This section covers everything you need to set up and optimize your HubSpot integration. ## Getting Started Data Parrot uses your HubSpot account for authentication. When you create a Data Parrot account, you automatically connect your HubSpot instance - no separate configuration needed. ## Integration Guides - **Configuration**. Set up your HubSpot connection, configure accelerated sync, and enable pushing AI analysis to HubSpot custom properties. - **Add HubSpot UI Extension**. Install the Data Parrot card directly on your HubSpot Deal records for instant access to AI insights without leaving HubSpot. - **HubSpot Card Guide**. Learn how to use the Data Parrot card in HubSpot, including viewing deal health, AI summaries, and next steps. - **Custom Properties**. Understand the custom properties Data Parrot creates in HubSpot and how to use them in views, reports, and workflows. ## Key Features - **Automatic Sync**: Data Parrot continuously syncs deal data from HubSpot - **Accelerated Sync**: Trigger more frequent syncs when you need real-time updates - **Push to HubSpot**: Write AI analysis back to HubSpot as custom deal properties - **UI Extension**: View Data Parrot insights directly on HubSpot deal records - **Custom Properties**: Use AI insights in HubSpot reports, views, and workflows --- ## Blog ### Best HubSpot Forecasting Tools for Teams That Need More Than Weighted Pipeline URL: https://dataparrot.ai/blog/best-hubspot-forecasting-tools-for-teams-that-need-more-than-weighted-pipeline Published: 2026-06-01 A practical buyer guide to HubSpot forecasting tools for teams that need deal evidence, close-date confidence, pipeline inspection, and forecast briefs beyond weighted pipeline. ### Why HubSpot Forecasts Drift From Reality Even When Pipeline Looks Healthy URL: https://dataparrot.ai/blog/why-hubspot-forecasts-drift-from-reality-even-when-pipeline-looks-healthy Published: 2026-06-01 Why HubSpot forecasts drift even when pipeline coverage looks healthy, and how revenue teams can test whether the forecast is supported by deal evidence. ### How to Know If a Close Date Is Realistic in HubSpot URL: https://dataparrot.ai/blog/how-to-know-if-a-close-date-is-realistic-in-hubspot Published: 2026-05-31 How HubSpot teams can improve forecast accuracy by making close dates more objective, defensible, and grounded in buyer evidence. ### How to Stay on Top of Deals in HubSpot URL: https://dataparrot.ai/blog/how-to-stay-on-top-of-deals-in-hubspot Published: 2026-05-28 How HubSpot teams can stay on top of open deals with native tools, Breeze, workflows, deal health, and automated daily or weekly briefings. ### How to Score Deals in HubSpot: 5 Methods From Stage Probability to Deal Health URL: https://dataparrot.ai/blog/how-to-improve-deal-scoring-in-hubspot Published: 2026-04-14 A complete guide to the main deal scoring methods in HubSpot, how to choose the right one, how to build it, and when to move up. ### Product Update: Deal Health Trends, Meeting Transcripts, and AI Analysis Improvements URL: https://dataparrot.ai/blog/product-update-deal-health-trends-and-transcripts-april-2026 Published: 2026-04-05 Open deals now show health trends, meeting transcripts are available in the deal timeline, and Data Parrot's AI analysis has improved across the app. ### Product Update: Activity Dashboard for Calls, Meetings, Deals, and Leads URL: https://dataparrot.ai/blog/product-update-activity-dashboard-march-2026 Published: 2026-03-19 Activity Dashboard is now live for Pro and Max with a rep-by-rep activity matrix, configurable charts, detail tables, custom columns, and saved layouts. ### The Future of CRM Analytics: Why We Built Data Parrot URL: https://dataparrot.ai/blog/data-parrot-crm-analytics Published: 2024-12-01 We built Data Parrot because every company deserves an expert revenue analyst who automatically delivers exactly what you need to know, exactly when you need to know it. --- Last Updated: 2026-06-02