# Analyze why we win and lose deals

A win/loss analysis that finds patterns across closed deals and turns them into changes to targeting, process, and messaging.

- Topic: Data & Analysis
- Framework: Few-Shot
- Level: Standard
- Tags: Sales, Strategy, Analyze, Fill-in Template
- Source: https://www.thinkwithprompt.com/prompts/analyze-why-we-win-and-lose-deals

## Prompt

```text
Help me run a win/loss analysis on our closed deals.

**Deals data:** [paste or describe: outcome, amount, segment, industry, source, competitor, sales cycle, loss reason, rep, stage lost]
**Qualitative input:** [buyer interview notes, rep notes, survey comments, if any]
**Period covered:** [DATES]
**Questions I most want answered:** [e.g. why are we losing to a specific competitor, why mid-market win rates dropped]

Steps:
1. Calculate win rate overall and by segment, source, deal size band, competitor, and rep. Show sample size for each cut and flag cuts too small to trust (under ~15 deals).
2. Compare won vs lost on sales cycle length, number of contacts engaged, stage reached, and discounting.
3. Group loss reasons into themes. Treat "price" and "no decision" with care: check whether value was established or whether the deal was qualified at all.
4. Pull recurring phrases from buyer feedback, quoting them.
5. Separate what we control (process, messaging, qualification) from what we don't (budget freezes).

Return:
- Key findings in 5 bullets, each with the evidence.
- A win rate table by cut, with sample sizes.
- Top 3 loss themes with examples.
- Recommended changes for: ICP and targeting, qualification, sales process, messaging, and product feedback.
- What to start tracking so the next analysis is better (e.g. structured loss reasons).

Use only the data provided. Where data is thin, say so instead of drawing conclusions.
```

## What to fill in

- buyer interview notes, rep notes, survey comments, if any
- DATES

Free to copy and use. From ThinkWithPrompt (https://www.thinkwithprompt.com/), a library of 2,663 curated AI prompts.