PromptResearch

User Interview Synthesis

Transform raw user interview notes into structured insights, patterns, and actionable design recommendations.

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researchuser-interviewssynthesisinsightsuser-research

Prompt

Synthesize the following user interview notes into structured insights:

[Paste interview notes, transcripts, or key quotes]

Provide:

1. Interview Summary
   - Number of interviews
   - Key themes across interviews
   - Notable patterns or contradictions
   - Interview quality assessment

2. Key Insights
   - Top 5-7 most important insights
   - Supporting quotes or evidence
   - Frequency of themes
   - Surprising or unexpected findings

3. User Pain Points
   - Pain points identified (ranked by severity)
   - Emotional impact of each pain point
   - Context where pain points occur
   - Quotes illustrating each pain point

4. User Needs & Goals
   - Primary goals users are trying to achieve
   - Unmet needs
   - Motivations and drivers
   - Success criteria from user perspective

5. Behavioral Patterns
   - How users currently solve problems
   - Workarounds and hacks
   - Tools and methods they use
   - Decision-making processes

6. Opportunities
   - Design opportunities based on insights
   - Quick wins vs. long-term improvements
   - Potential impact of addressing each opportunity
   - Feasibility considerations

7. Design Recommendations
   - Specific design recommendations
   - Prioritized action items
   - Success metrics for each recommendation
   - Next steps for validation

Format as a structured synthesis report ready for design team and stakeholders.

How to use

  1. 1Collect your interview notes: Gather interview transcripts, notes, or key quotes from user interviews
  2. 2Replace [Paste interview notes, transcripts, or key quotes] with your organized interview data. Format: "Interview 1: [notes]" "Interview 2: [notes]" etc.
  3. 3Add context before the prompt: Describe your research goals. Example: "We conducted 10 user interviews about our checkout flow. Goal: Understand pain points and identify improvements."
  4. 4If you have participant info: Mention participant count. Say "We interviewed [X] participants"
  5. 5Paste the modified prompt into your preferred AI tool, like ChatGPT or Claude (preferably with longer context if you have many interviews)
  6. 6Review the synthesis report: Check key insights, pain points, opportunities, and design recommendations
  7. 7Prioritize recommendations: Focus on opportunities ranked by impact and feasibility
  8. 8Ask for refinements: Request "Focus on [specific theme]" or "Prioritize pain points by frequency"
  9. 9Export to design tools: Copy insights to Figma, Miro, or your design documentation
  10. 10Share with stakeholders: Use the synthesis report to align team on user needs and design direction

Pro Tips

  • Include participant quotes: Paste verbatim quotes so insights feel authentic and evidence-based
  • Specify interview count: Mention "10 interviews" so AI can provide context about sample size
  • For large datasets: If you have many interviews, consider synthesizing in batches: "Synthesize interviews 1-5" then "Synthesize interviews 6-10"
  • Request prioritization: Ask "Rank opportunities by impact and feasibility" for actionable recommendations
  • Save as template: Reuse synthesis structure for future interview synthesis
  • For affinity-style coding and clusters with participant coverage, use Affinity Mapping Assistant (Research). For polished insight statements and a short exec summary, use Research Insight Statement Writer (Research).

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