Win-Loss Analysis Synthesizer
Synthesize win-loss interviews and deal outcomes into patterns that improve close rates.
Get the Win-Loss Analysis Synthesizer skill
Install it in Claude as an Agent Skill, or copy it into ChatGPT, Gemini, or any assistant. Same method either way.
What this does and why it matters
Every closed deal, won or lost, is free market research that most firms throw away. This skill synthesizes win-loss inputs into the recurring reasons deals go each way, separating what buyers say from what actually drove the decision, so the firm fixes the real causes instead of guessing.
Inputs to gather
- The deal outcomes and any interview notes, debriefs, or buyer feedback.
- The deals in scope and their basic facts (segment, competitor, size).
- What the team believes is happening, so beliefs can be tested against evidence.
Method
1. Separate stated reasons from root causes
Buyers rationalize. "Too expensive" often masks weak value framing or a missing champion. Record the stated reason and the likely root cause, and flag which is which.
2. Find the patterns, not the anecdotes
Cluster reasons across deals. A single dramatic loss teaches less than a quiet pattern across ten deals. Segment patterns by deal type, competitor, and stage where lost.
3. Diagnose won deals too
Why you win is as actionable as why you lose. Wins reveal the messaging, proof, and buyer type where you are strong, which should shape targeting.
4. Distinguish fixable from structural
Some losses are fit problems (wrong ICP) and some are execution problems (slow follow-up, weak discovery). The response differs, so label each.
5. Turn patterns into changes
Each significant pattern gets a specific recommended change to messaging, process, targeting, or product.
Output format
ALWAYS use:
# Win-Loss Synthesis | [Period / Deal Set]
## Why we win (patterns and where we are strong)
## Why we lose (stated reason vs root cause, clustered)
## Patterns by segment / competitor / stage
## Fixable vs structural
## Recommended changes (ranked by impact)
Anti-patterns to avoid
- Taking buyer-stated reasons at face value.
- Over-indexing on one memorable loss.
- Analyzing only losses and ignoring what wins teach.
- Producing observations with no recommended change.
Example
Across ten losses, the pattern is deals stalling after a strong demo with no economic buyer engaged. Root cause is single-threading in discovery, and the recommended change is a required multi-threading step before demo.
How to use this skill
- Download the SKILL.md file above.
- Add it to a Claude environment that supports Agent Skills, or attach the file to your conversation.
- Make your request and hand over the raw input. Claude triggers the skill automatically.
- Copy the skill text above.
- Paste it into a ChatGPT Project, a Custom GPT's instructions, or a Gemini Gem.
- Give the model your raw input. It follows the same method and output format.
Frequently asked questions
What does the Win-Loss Analysis Synthesizer skill do?⌄
Synthesize win-loss interviews and deal outcomes into patterns that improve close rates. Use this skill whenever a user has win-loss feedback, closed deal debriefs, or wants to understand why deals are won or lost, or says 'why are we losing deals', 'analyze our wins and losses', or 'run a win-loss'. Trigger whenever deal outcomes need to become a clear-eyed diagnosis of what to change.
How do I use the Win-Loss Analysis Synthesizer skill in Claude?⌄
Download the SKILL.md file and add it to a Claude environment that supports Agent Skills, or attach the file to your conversation. Claude triggers the skill automatically when your request matches what it does, then returns a structured first draft.
Can I use the Win-Loss Analysis Synthesizer skill in ChatGPT or Gemini?⌄
Yes. Copy the skill text and paste it into a ChatGPT Project, a Custom GPT's instructions, or a Gemini Gem. Then give the model your raw input and it follows the same method.
Is the Win-Loss Analysis Synthesizer skill free?⌄
Yes. Every skill in the library is free and ungated. Download it, copy it, and use it however you like.
More sales skills
Build a pre-call account research brief so a rep walks into any meeting fully prepared.
Write high-converting cold outbound email sequences: multi-touch, plain-text, personalized, deliverability-safe.
Build a competitive battlecard that arms reps to win against a named competitor without trashing them.
Qualify and score a deal against a named framework (MEDDICC, BANT, SPICED) to expose gaps and forecast risk.
The full system, end to end.
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