Prompt Details
Model
Chat - (gpt-5.6)
Token size
280
Example input
[COMPANY]: SentryGate - compliance automation
[WINS]: 5 wins, $200k total, competitors: AuditPro
[LOSSES]: 3 losses, $150k total, competitors: AuditPro
[COMPETITORS]: AuditPro, ComplySoft
[GOAL]: Win rate improvement
Example output
STEP 1 — WIN-LOSS SCORECARD
1. Northbridge Capital: 9/10 (strong champion, CFO access).
2. Alpha Bank: 8/10 (clear value, weak competitor).
3. Beta Fintech: 7/10 (fast close, no committee).
(and so on for each deal)
STEP 2 — WINNING PATTERNS
1. Strong champion (5/5 wins). Works because they sell internally.
2. CFO access (4/5 wins). Works because budget is confirmed.
3. Clear ROI story (5/5 wins). Works because it justifies the price.
4. Fast pilot (3/5 wins). Works because it reduces risk.
5. Reference customer (4/5 wins). Works because it builds trust.
STEP 3 — LOSING PATTERNS
1. No champion (3/3 losses). Fix: Identify champion early.
2. Late CFO engagement (2/3 losses). Fix: Engage CFO earlier.
3. Weak ROI story (3/3 losses). Fix: Build ROI model early.
4. Competitor incumbency (2/3 losses). Fix: Target non-incumbents.
5. Slow evaluation (2/3 losses). Fix: Create urgency.
STEP 4 — ACTION PLAN
1. Build a champion identification playbook.
2. Create a CFO engagement playbook.
3. Develop a competitive battle card.
STEP 5 — WIN RATE SCORE
Score: 6/10. Win rate 62%. Improvement: Focus on deals with strong champions.
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GPT-5.6
Stop guessing why you win or lose deals. This prompt builds a complete win-loss analysis system using the MEDDIC framework and pattern recognition.
You get: a win-loss scorecard, 5 winning patterns, 5 losing patterns, and an action plan. It also scores your win rate on a scale of 1-10.
Built for sales leaders and product marketers who want to learn from every deal.
Works with ChatGPT, Claude, any GPT.
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Added 1 hour ago
