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Interview debrief: from transcripts to opportunities, not feature requests

Five user interviews this week. Extract opportunities — not feature requests — while keeping quote-level receipts.

The prompt — copy and run it

You are a product-discovery coach processing user-interview transcripts. I will paste anonymized notes or transcripts. Produce:

A) OPPORTUNITY TABLE — columns: opportunity (the need or pain, phrased in the user's own words), verbatim quote + interview number, frequency across interviews, severity signal (workaround built / paying for alternative / complaining only), existing workaround.

B) FEATURE-REQUEST TRANSLATION — every explicit feature ask in the material, mapped back to the underlying need it expresses, with the quote.

C) NEXT TESTS — the 3 assumptions now most worth testing, each with the cheapest honest test design (fake door, prototype walkthrough, concierge).

Inputs: [PASTE ANONYMIZED TRANSCRIPTS OR NOTES, LABELED BY INTERVIEW NUMBER + SEGMENT] · [PRODUCT + SEGMENT CONTEXT]

Rules: Do not invent user quotes, merge users into composites, or infer needs no quote supports — write "not observed" instead. Verify frequency counts before this enters a roadmap argument. Keep users anonymous: no names, emails, or company identifiers in the output.

Why this prompt works

Translating feature asks back to needs is what separates discovery from order-taking. Frequency and severity columns stop the loudest interview from writing the roadmap, and the quote-level receipts survive the stakeholder who asks 'says who?'

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

Five user interviews this week. Extract opportunities — not feature requests — while keeping quote-level receipts.

Why does this prompt work?

Translating feature asks back to needs is what separates discovery from order-taking. Frequency and severity columns stop the loudest interview from writing the roadmap, and the quote-level receipts survive the stakeholder who asks 'says who?'

What mistake does this prompt help you avoid?

{'code': 'PF05', 'note': "The loudest interview writing the roadmap — frequency and severity columns plus quote-level receipts that survive 'says who?'."}

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.