User Research Synthesis (Patterns to Insights)

Transform raw user research data into actionable insights and recommendations.

Prompt
Synthesize user research findings for {PRODUCT/FEATURE}.

Input:
- Research type: {TYPE} (interviews/usability/survey)
- Participants: {NUMBER} {DESCRIPTION}
- Research focus: {FOCUS}
- Raw findings: {DATA}

Rules:
- Identify patterns across participants, not individual feedback
- Support themes with specific quotes or examples
- Distinguish high-frequency from low-frequency issues
- Focus on underlying needs, not requested features
- Prioritize insights by impact and frequency

Output format:

RESEARCH OVERVIEW
Method: [interviews/tests/survey]
Participants: [N participants, demographics]
Focus: [what we investigated]

KEY THEMES

Theme 1: [Pattern name]
What we observed: [description]
Supporting evidence: "[quote]", "[quote]"
Frequency: [X of N participants]

Theme 2: [Pattern name]
[Continue format...]

CRITICAL INSIGHTS
1. [Core user need or behavior insight]
   Why it matters: [business or user impact]

2. [Continue...]

TOP PAIN POINTS (ranked by severity × frequency)
1. [Pain point] - Severity: High/Med/Low - Frequency: X/N users
2. [Continue...]

OPPORTUNITIES
- [Opportunity 1 based on unmet need]
- [Opportunity 2]

RECOMMENDATIONS (prioritized)
1. [Recommendation]
   Rationale: [supporting insight]
   Impact: [expected outcome]

2. [Continue...]

Product/Feature: {PRODUCT/FEATURE}
Type: {TYPE}
Participants: {NUMBER} {DESCRIPTION}
Focus: {FOCUS}
Variations
Add journey map highlighting pain points.
Include personas based on behavioral patterns.
Make it comparison-focused (competitive study).
Add quantitative metrics where available.
Works well with
GPT
Claude
Gemini