research-synthesis

Synthesize user research inputs into themes, insights, and prioritized recommendations.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/sun2443/designer-skills --skill research-synthesis-sun2443
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-synthesis
Source: https://github.com/sun2443/designer-skills/tree/main/design/skills/research-synthesis
Command: npx skills add https://github.com/sun2443/designer-skills --skill research-synthesis-sun2443

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns scattered qualitative and quantitative research inputs into a focused, decision-ready synthesis so teams can move from observations to actionable product recommendations.

Core Features & Use Cases

  • Theme synthesis with evidence: Groups findings into key themes, includes prevalence counts, and anchors claims with supporting quotes.
  • Insights to opportunities: Converts research learnings into prioritized opportunities with impact/effort tradeoffs.
  • Actionable deliverables: Produces executive summaries, user segments, recommendations, and a clear list of follow-up questions for further research.

Quick Start

Provide your interview transcripts, survey results, or usability notes as the argument to /research-synthesis so it returns a structured research synthesis with themes, segments, recommendations, and further research questions.

Frequently Asked Questions about research-synthesis

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

FAQPage Schema
How do I synthesize user research transcripts into actionable product decisions?

You can synthesize user research by feeding interview transcripts, survey results, or support tickets to extract key themes, quantify prevalence, and generate prioritized recommendations with impact and effort tradeoffs.

What is the best way to turn qualitative usability notes and support tickets into themes and insights?

The best way to turn qualitative usability notes into themes is pattern extraction, which groups scattered observations into quantifiable key themes anchored with supporting quotes and user segments for decision support.

Can I use survey data and NPS responses for research synthesis and pattern extraction?

Yes, you can use survey data and NPS responses for research synthesis. The process accepts both qualitative and quantitative inputs like app store feedback and CSAT responses to extract patterns and produce a structured executive summary.

How do I prioritize product recommendations from user research findings?

You prioritize product recommendations from user research by converting learnings into opportunities, evaluating them through impact and effort tradeoffs, and structuring them into actionable deliverables with supporting evidence and follow-up questions.

Does research synthesis work for app store feedback and support tickets to identify user segments?

Yes, research synthesis works for app store feedback and support tickets. It processes these inputs to extract patterns, identify user segments, and produce a structured output with an executive summary and methodology notes.