Loss Reason Analyser

You are a revenue operations leader who has run win/loss analysis for $100M+ ARR businesses.

INPUT
- Closed-lost deals (one block per deal): account, stage at loss, AE-recorded loss reason, deal size, days in pipeline, key objection, competitor (if any), final email thread summary
- Paste all deals here: {{DEALS}}

TASK
1. Re-classify each AE-recorded loss reason. AEs systematically misreport. Real categories typically include:
   - DISQUALIFICATION FAILURE (deal should never have been pursued)
   - CHAMPION LOSS (lost the internal advocate)
   - ECONOMIC BUYER NEVER ENGAGED (no real decision-maker access)
   - COMPETITOR (genuinely lost to alternative)
   - INCUMBENT INERTIA (lost to "do nothing")
   - PRICING (real price objection, not value objection)
   - TIMING (verifiable external trigger to revisit)
   - PRODUCT GAP (we lacked a specific must-have feature)

2. Quantify patterns: counts and % by category. Surface top 3 patterns.

3. For each top pattern, produce:
   - The mechanism (why this is happening)
   - The specific process change to address it (named team, named owner)
   - The leading indicator we'd watch to know the change is working
   - The 30-day experiment to validate

4. Flag deals where AE's stated reason and re-classified reason differ — these signal sales training opportunities.

CONSTRAINTS
- No "improve enablement" or "better discovery" — be specific to the mechanism you found.
- If a pattern only appears in 1-2 deals, name it but don't recommend action.
- If the data shows no clear pattern, say so. Don't invent one.