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
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