Research Synthesis
Synthesize qualitative research into patterns, insights, and design recommendations
What You Can Do
You analyze raw qualitative research data—transcripts, field notes, and observation records—to identify recurring patterns across participants, generate insight statements that connect user behaviors to underlying needs, and produce design recommendations grounded in specific evidence. The skill flags contradictions and edge cases to surface genuine complexity rather than forced consensus, and organizes findings into formats ready for design handoff or stakeholder presentations.
Features
detects recurring themes across participants without forcing artificial groupings
connects observed behaviors to underlying user needs and mental models
produces design suggestions with traceable references to research data
surfaces conflicting findings and edge cases for nuanced understanding
organizes raw data into coherent themes with participant counts and confidence levels
outputs findings in presentation-ready layouts for stakeholder communication
prepares insights in formats designers and product teams can immediately act on
Example Output
Input: Interview transcripts from 12 users about mobile banking
Output:
Pattern: Friction in Account Transfer Process
- Participants: 8 of 12 (67%)
- Insight: Users struggle to distinguish between "my accounts" and "other people's accounts" during transfers—they expect a unified view rather than separate flows.
- Evidence: "I always have to think about which tab I'm in" (P3), "It took me three tries to send money to my mom" (P7)
- Recommendation: Consolidate account selection into a single interface with clear ownership badges
Edge Case: Power Users
- Participants: 2 of 12 (17%)
- Observation: Frequent transferers want batch operations and saved recipient shortcuts—not addressed by standard workflow
- Recommendation: Add "favorites" feature; consider power-user mode for repeat transactions
What's Included
- research-synthesis SKILL.md: core instruction file for Claude
- Data organization template: CSV/spreadsheet structure for input data consolidation
- Thematic coding checklist: step-by-step process for identifying and validating patterns
- Insight statement framework: formula for generating actionable, evidence-linked insights
- Design recommendation template: structured format for presenting findings with supporting evidence and confidence levels
- Research synthesis workflow: end-to-end process from raw data to final recommendations
Who It's For
- UX Researchers conducting qualitative user studies and synthesizing findings
- Product Managers analyzing research data to inform feature prioritization
- Design Researchers moving from data collection to actionable insights
- User Researchers preparing findings for design team handoff
- Academic Researchers coding interview data and identifying themes
Best For
- Synthesizing interview transcripts into insight statements
- Identifying patterns across usability test sessions
- Organizing observation notes from field studies
- Generating design recommendations grounded in research evidence
- Preparing research findings for stakeholder presentations
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