Win/Loss Analysis & Pattern Extraction

Win/loss analysis is the most consistently underdone activity in sales. Most teams do a brief debrief after a loss, write a few lines in the CRM, and move on. The patterns that would improve win rate across the whole team — the common MEDDPICC gaps in lost deals, the rep behaviors that correlate with wins, the competitor plays that consistently beat you — never get extracted because nobody has time to do the analysis systematically.

AI makes this analysis fast enough to do consistently. Paste your deal data — call notes, opportunity fields, outcome description — and it produces a structured analysis that separates the stated reason for the outcome from the real reason, maps MEDDPICC gaps to the result, and extracts 3 behaviors to replicate or avoid.

What you get: True win/loss reason (separated from stated reason), MEDDPICC gap analysis mapped to the outcome, 3 specific behaviors that drove the result, a pattern flag if this matches previous wins/losses, and a coaching recommendation for the rep on the next comparable deal.

Best used for: Immediately after any closed deal — won or lost. Aggregate 10+ analyses and you start to see the patterns that inform territory planning, coaching focus, and competitive positioning.

A practical AI workflow for B2B sales — the prompts below run this play end to end, in Claude, ChatGPT, Gemini, or Copilot.

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