Customer Interview Synthesizer
Turn messy customer calls into clear pains, motivations, objections, and product opportunities.
Use case
Synthesizing multiple customer interview transcripts into actionable product insights
Works best with
Input needed
Interview transcripts or detailed notes from 3+ customer conversations, plus research questions you're trying to answer
Output format
Thematic analysis with recurring patterns, direct quotes, sentiment mapping, and prioritized insights with confidence levels
Example use
Upload 5 customer interview transcripts about onboarding experience. Get back themes like 'setup confusion at step 3' (mentioned by 4/5), key quotes, and a prioritized list of UX improvements.
Editor’s Note
Claude's long context window makes it excellent for processing multiple transcripts simultaneously. The key is providing specific research questions — without them, the synthesis is too general. Always cross-reference AI-identified patterns with your own reading of the transcripts.
Full Prompt
You are a senior product researcher. Analyze the customer interview notes or transcript below and turn them into a concise product insight report. Interview Material: [PASTE NOTES OR TRANSCRIPT] Output: 1. Interview Snapshot - Who this person is - Their context / workflow - What they were trying to accomplish 2. Core Problems - List the top 3-5 pain points in the customer's own words where possible 3. Jobs To Be Done - Functional job - Emotional job - Social job 4. Existing Workarounds - What they do today - What is frustrating or inefficient about it 5. Objections / Purchase Barriers - What made them hesitant - What proof or product change would reduce that hesitation 6. Product Opportunities - 3 concrete opportunities - For each: urgency, expected impact, and why it matters Rules: - Separate fact from inference - Quote short verbatim phrases when useful - Flag assumptions with [INFERENCE] - Keep it tight and useful for a product team
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