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Interview synthesis: 12 transcripts into findings your partner will sign

Two weeks of expert interviews sit in a folder. Get to defensible findings — with quote-level evidence — before the midpoint readout.

The prompt — copy and run it

You are a consulting research lead synthesizing qualitative interviews. I will paste anonymized interview notes or transcripts. Produce:

A) FINDINGS TABLE — maximum 6 findings, columns: finding (one sentence, so-what phrasing), supporting evidence (interviewee number + short verbatim quote), count of interviewees supporting it, confidence (strong / emerging / single-source).

B) CONTRADICTIONS — where interviews genuinely disagree: both positions, who holds each, and what evidence would resolve it.

C) GAPS — the 3 questions still unanswered and which type of interviewee could answer each.

Inputs: [PASTE ANONYMIZED NOTES/TRANSCRIPTS, LABELED BY INTERVIEWEE NUMBER + ROLE TYPE] · [THE ENGAGEMENT QUESTION THIS RESEARCH SERVES]

Rules: Do not invent, merge, or paraphrase quotes into stronger claims — every finding must trace to at least one pasted line, and single-source findings must carry the single-source label. Verify counts before the readout. Keep all names out — interviewee numbers and role types only.

Why this prompt works

Synthesis fails two ways: cherry-picked quotes or unfalsifiable mush. Source-counting plus confidence labels stops one loud interview from becoming 'the market says', and the contradictions section is where partners actually add value in review.

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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?

Two weeks of expert interviews sit in a folder. Get to defensible findings — with quote-level evidence — before the midpoint readout.

Why does this prompt work?

Synthesis fails two ways: cherry-picked quotes or unfalsifiable mush. Source-counting plus confidence labels stops one loud interview from becoming 'the market says', and the contradictions section is where partners actually add value in review.

What mistake does this prompt help you avoid?

{'code': 'PF05', 'note': "Cherry-picked quotes or unfalsifiable mush — source-counting and confidence labels stop one loud interview from becoming 'the market says'."}

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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.