Context
Researchers and product teams
Interview notes and synthesis prompts are inconsistent, causing weaker insight quality.
Recommended folder model
- Interview prep
- Raw note cleanup
- Synthesis
- Prioritization
How-to Workflow
Best ChatGPT Prompts for User Research
This prompt library standardizes user research synthesis so insights stay comparable and reusable.
Execution Steps
Workflow setup sequence
- Prepare interview prompt guides by objective.
- Normalize notes into a structured format.
- Extract recurring themes with confidence levels.
- Prioritize opportunities using impact and frequency.
Starter prompts
Prompt chain to get momentum
- Convert these notes into jobs, pains, and desired outcomes.
- What themes recur across at least 30% of participants?
- Turn these findings into prioritized product opportunities.
FAQ
Common implementation questions
- What improves synthesis quality fastest? Consistent note formatting before analysis is the highest-leverage step.
- How many prompt templates should I keep? Keep 5 to 10 core synthesis templates and refine from usage data.
Related
Install GPT Master
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Folders feature
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Compare extensions
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How to organize for researchers
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Open pageApply this workflow inside ChatGPT in under 2 minutes
Install GPT Master and organize high-value threads before your next session.