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yethikrishna
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user-research-synthesis

Synthesize user research into themes, personas, and prioritized opportunities.

Updated Apr 16, 2026
Search Tags:#user-research#thematic-analysis#triangulation#persona-development#affinity-mapping#qualitative-analysis#opportunity-sizing
One-click install
npx skills add https://github.com/yethikrishna/humble --skill user-research-synthesis-yethikrishna
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: user-research-synthesis
Source: https://github.com/yethikrishna/humble/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/user-research-synthesis
Command: npx skills add https://github.com/yethikrishna/humble --skill user-research-synthesis-yethikrishna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts messy qualitative and quantitative user data — interviews, surveys, usability tests, support logs, and analytics — into clear, evidence-backed themes, personas, and prioritized opportunities that product teams can act on.

Core Features & Use Cases

  • Thematic analysis: Structured workflow from familiarization and coding to theme refinement and reporting.
  • Affinity mapping & synthesis: Collaborative clustering of observations into named themes and higher-level patterns.
  • Triangulation: Combine interviews, surveys, and analytics to strengthen findings and surface contradictions.
  • Interview and survey interpretation: Extract observations, representative quotes, frequency counts, and segment differences.
  • Persona creation and opportunity sizing: Build evidence-based personas and estimate addressable users, frequency, severity, and willingness-to-pay for identified opportunities.
  • Use Case: Turn a set of 20 interview transcripts and a 300-response survey into a prioritized roadmap proposal with supporting evidence and recommended next steps.

Quick Start

Synthesize interview transcripts, survey responses, and analytics into prioritized themes, supporting quotes, and recommended product actions.

Frequently Asked Questions about user-research-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synthesize user research data from interviews and surveys into product insights?▼

Synthesize user research by applying thematic analysis and affinity mapping to interview transcripts, open-ended survey responses, and analytics to identify themes, extract supporting quotes, and prioritize product opportunities.

What is the best way to cluster qualitative user research observations into themes?▼

The best way to cluster qualitative observations is affinity mapping, which groups raw interview notes and survey responses into named themes and higher-level patterns to reveal evidence-backed product findings.

Can I combine product analytics with interview transcripts to strengthen user research findings?▼

Yes, you can combine product analytics with interview transcripts using triangulation, which cross-references multiple data sources to strengthen qualitative analysis and surface contradictions across participants.

How do I turn qualitative user research into evidence-based personas and opportunity sizing estimates?▼

Turn qualitative research into evidence-based personas by extracting segment differences and representative quotes from interview transcripts, then estimating addressable users, frequency, severity, and willingness-to-pay for opportunity sizing.

Does thematic analysis work on raw support logs and usability test notes?▼

Yes, thematic analysis works directly on raw support logs and usability test notes, applying a structured workflow from familiarization and coding to theme refinement and reporting for clear product decision-making.

How do I extract frequency counts and representative quotes from open-ended survey responses?▼

Extract frequency counts and representative quotes from open-ended survey responses by applying structured coding during thematic analysis, identifying recurring patterns and segment differences across the participant pool.

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