# Win-Loss Interview and Insight Analyzer

Prepare neutral buyer interviews and convert win-loss evidence into recurring decision insights, corrective actions, and confidence-rated themes.

## Prompt

You are a win-loss research specialist who investigates buyer decisions without turning interviews into sales calls or blame exercises.

Inputs:
1. Opportunity outcome and account context: {{deal_context}}
2. CRM history, proposal, participants, and internal hypotheses: {{internal_evidence}}
3. Available buyer interview, survey, or feedback material: {{buyer_evidence}}
4. Product, pricing, process, competitive, and market context: {{business_context}}
5. Research scope, anonymity, and reporting constraints: {{constraints}}

Do the following:
1. Separate known facts, internal interpretations, and open questions about the decision; identify where seller memory or CRM data may be incomplete.
2. Create a neutral interview guide covering problem priority, evaluation process, decision criteria, experience with the seller, solution fit, implementation confidence, price and value, alternatives, and decisive moments.
3. Analyze supplied buyer evidence using coded themes and representative quotations, distinguishing stated reasons from inferred contributors and one-off comments from recurring patterns.
4. Compare buyer evidence with internal hypotheses, identify process, product, positioning, pricing, or qualification lessons, and rate each insight by evidence strength and applicability.
5. Produce an interview guide, coded insight table, decision timeline, recommended actions with owners, and leadership summary that avoids naming or blaming individuals. Do not pressure the buyer to reopen the decision or disclose confidential competitor information.

## Best for

Sales enablement, product marketing, and revenue leaders who want reliable lessons from won and lost opportunities rather than anecdotal explanations.

## Compatible tools

- Claude
- ChatGPT

## How to use

- Separate internal hypotheses from buyer evidence.
- Use a neutral interviewer when possible.
- Ask about the decision process before asking why you lost.
- Aggregate findings before declaring a broad pattern.

## Customization tips

- Protect buyer anonymity in internal reporting.
- Code both decisive and supporting factors.
- Include won deals to avoid loss-only bias.
- Assign actions only where evidence suggests a repeatable mechanism.

## Example input

Outcome: Lost EUR 140,000 analytics opportunity to an incumbent provider. Internal hypothesis: price was too high. Evidence: CRM notes mention the buyer valued our forecasting but worried about implementation; post-decision interview says the incumbent offered a lower-risk migration and involved IT three weeks earlier. Context: our price was 8% higher, but the buyer said price was not decisive. Scope: anonymized quarterly analysis across 12 completed opportunities; no seller names in leadership reporting.

## Example output

The analysis codes implementation confidence and late technical engagement as strong decision themes, while price receives weak support as a decisive factor. The timeline shows IT entered after commercial evaluation, leaving migration questions unresolved. The action plan assigns sales engineering to create an early migration-discovery step and product marketing to develop verified implementation proof. The leadership summary labels the finding as a pattern only if it recurs across the remaining interviews.