Research·Updated April 10, 2026

User Interview Synthesis

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

Use Case

Synthesizing user interview data into actionable design insights and recommendations.

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

1Collect your interview notes: Gather interview transcripts, notes, or key quotes from user interviews
2Replace [Paste interview notes, transcripts, or key quotes] with your organized interview data. Format: "Interview 1: [notes]" "Interview 2: [notes]" etc.
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."
4If you have participant info: Mention participant count. Say "We interviewed [X] participants"
5Paste the modified prompt into your preferred AI tool, like ChatGPT or Claude (preferably with longer context if you have many interviews)
6Review the synthesis report: Check key insights, pain points, opportunities, and design recommendations
7Prioritize recommendations: Focus on opportunities ranked by impact and feasibility
8Ask for refinements: Request "Focus on [specific theme]" or "Prioritize pain points by frequency"
9Export to design tools: Copy insights to Figma, Miro, or your design documentation
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).