Library/Solution Framing, Demo & Proposal/Value Proof & Reference Management/Extract a Reusable Win Story from a Closed Deal
TestedSolution Framing, Demo & ProposalQuick Win (under 10 min)
About this prompt
This prompt creates a guided interview process for extracting a win story from a recent closed deal — covering the customer's situation before, the decision process, the specific outcome, and the key moment that closed it — structured for reuse in future discovery conversations and proposals. Use it within 30 days of closing a deal while the details are fresh.Win stories are more persuasive than case studies because they include the human decision context — who was involved, what made them nervous, what changed their mind — which resonates with prospects who are in a similar position. This prompt generates a five-question interview guide that walks through the customer's original situation, why they chose to evaluate a solution, what alternatives they considered, what they experienced working with you, and what specifically drove the final decision. From the interview answers, it produces a structured win story in two formats: a two-sentence verbal version for use in discovery and a longer written version for proposals. Fill in the deal context (company type, deal size, role) for interview questions calibrated to the specific type of win. Use this within two to three weeks of close while the story is fresh and before the customer's context has changed.The prompt
Help me extract a reusable 'win story' from a recent closed deal that I can use in future sales conversations. Interview me with the following questions, then compile my answers into a structured win
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Variables to replace
PASTE YOUR RESPONSES
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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