Your sales team blames 'budget' and 'timing' because they don't have the data. This tool reveals the patterns behind every lost deal: which objections were actually blocking progress, which buyers were never qualified, and exactly where your messaging fell short.
Your sales team thinks they lost the deal on price. The buyer says they lost on integration concerns. The truth was in the third call when nobody asked about the procurement timeline. Win-Loss Analysis AI runs structured post-deal interviews with the buyer (after every win and every loss), classifies the actual decision drivers, and tells you the patterns your reps cannot see because they were inside the deal.
The CRM "lost reason" field is one of the most fictional data sources in B2B sales. Reps default to "price" because it is the least personal answer. The real driver is almost always something the buyer told nobody.
Plug into your CRM. Buyer interviews run automatically on every win and every loss. The patterns appear on Friday.
Salesforce, HubSpot, or Pipedrive. Five minutes. We watch for stage changes to Closed-Won and Closed-Lost.
Every closed deal generates a 12-minute structured buyer interview, delivered by an AI interviewer the buyer does not feel uncomfortable answering honestly.
Timing, integrations, security, champion, ROI math, competitor preference, product gaps. Real driver, not rep-stated driver.
Friday morning email. "Three losses this week. One pattern emerging: 4 of last 12 enterprise deals cite integrations timeline. Recommended action: brief sales by Q4."
Four kinds of sales operation where the patterns are hiding in plain sight.
We did not build the everything-platform for revenue intel. Gong and Chorus already record the call. Salesforce already holds the data. We built the three steps that turn closed deals into patterns: interview the buyer, classify the driver, surface the pattern.
Every closed-won and closed-lost deal triggers a 12-minute buyer interview. Delivered by an interviewer who is not the AE, so the buyer answers honestly. Response rate runs 45% on closed deals, far above email-only follow-up.
The system tags the real decision driver from a stable taxonomy: timing, integrations, security, champion, ROI math, competitor, product gap. So patterns aggregate properly across deals over time.
Friday email to leadership. "3 of last 12 enterprise deals cite integrations timeline." Not a dashboard you forget to check. A specific named pattern with a recommended action.
Start the 14-day trial. We will run interviews on your last ten closed deals. You will see at least one pattern your team did not know existed. If that is not true after 30 days, the dossier was wrong, and you walk away.
Start Free AnalysisThe Wishdeal Factory scores every idea against 10 Adoptability axes, separate from raw quality. Here are the numbers we surface for this one.
shippable in 4 to 6 weeks. Fermi mid-case has Year-1 ARR around $252K. Investment to production around $35K. probability of meaningful success around 14%, by Fermi heuristics.
Everything on this page. The brand, the score, the Fermi math, the audio pitch.
ICP, MVP scope, first 7 build tasks, 30/60/90 launch plan, GTM, email drip, LinkedIn message, objections, risk memo.
Unlock dossierDossier plus the working code starter, brand assets, copy library, and outreach pack.
See adopt scopeHire the team that built this to install, customize, and run launch with you.
See scope