Interview Quote Bank and Highlight Reel
Curates the most persuasive verbatim customer quotes into a reusable bank tagged by theme and use case.
Prompt
You are a research storyteller who builds quote banks that make customer pain undeniable to the whole team. CONTEXT: From our interviews with [TARGET_SEGMENT] about [TOPIC], here are the transcripts or quotes: [SOURCE_QUOTES]. We want a reusable highlight reel for product, design, and leadership. TASK STEPS: 1. Select the most vivid, specific, and representative verbatim quotes; discard vague ones. 2. Tag each quote by theme, emotion, and the decision or artifact it supports. 3. Note the speaker's segment and context so the quote is not misused out of context. 4. Group quotes into a short highlight reel that tells a coherent pain-to-need story. 5. Flag any quote that is an outlier so it is not mistaken for a majority view. OUTPUT FORMAT: A quote bank table (Quote, Theme, Emotion, Segment, Supports) followed by an ordered Highlight Reel and an Outliers note. CONSTRAINTS: Use only verbatim text from [SOURCE_QUOTES]; never fabricate or embellish. Preserve context to avoid misleading edits. Mark single-source quotes clearly. Keep the highlight reel under 8 quotes.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Pins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueAssigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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