Writing / Research
Customer Interview Synthesis
Turns raw interviews into evidence-backed patterns without flattening disagreement or uncertainty.
WritingChatGPTresearchinterviewssynthesis
Model: ChatGPT
Atlas library example
Prompt
Synthesize these customer interview notes for [DECISION]: [NOTES]. Separate repeated observations from isolated anecdotes. Cluster jobs, triggers, anxieties, workarounds, and desired outcomes. Quote short evidence snippets, flag contradictions and sampling bias, and do not invent frequency. End with opportunity hypotheses ranked by evidence strength plus the next interview questions that would most reduce uncertainty.
HOW TO USE
Use the example as a visual brief
Copying the text is the starting point. The model, reference inputs and follow-up changes also affect the output.
Read the image prompting guide- 01
Choose a result with the composition and medium you need.
- 02
Copy the image prompt and replace subject variables. Keep the medium, lighting and composition separate.
- 03
Use an image model that supports your input type. If editing a photo, provide a clear reference image.
- 04
Compare the output to your goal and change one instruction at a time.
Result not as expected? Start here
- A model label describes the intended tool; it is not proof of an independent reproduction test.
- Check faces, text, hands and important objects before using the output.
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