synthesize-research

Synthesize user research into themes, prioritized findings, and roadmap recommendations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mmahalwy/cooper --skill synthesize-research-mmahalwy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: synthesize-research
Source: https://github.com/mmahalwy/cooper/tree/main/.agents/skills/synthesize-research
Command: npx skills add https://github.com/mmahalwy/cooper --skill synthesize-research-mmahalwy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesize user research from interviews, surveys, and feedback into structured insights and actionable recommendations.

Core Features & Use Cases

  • Gather inputs from interview transcripts, survey responses, feedback, and support tickets.
  • Identify themes and patterns using qualitative analysis to produce a prioritized findings matrix.
  • Produce a structured synthesis with key findings, representative quotes, and roadmap recommendations.

Quick Start

Provide your research notes and I will generate a structured synthesis with themes, findings, and recommended actions.

Frequently Asked Questions about synthesize-research

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 themes?

To synthesize user research, you provide raw interview transcripts, survey responses, and support tickets to extract recurring themes, rank findings by frequency and impact, and generate actionable roadmap recommendations.

What is thematic analysis and how does it apply to usability study feedback?

Thematic analysis processes usability study feedback by identifying patterns across multi-source data, extracting representative quotes, counting frequency, and producing a prioritized findings matrix for product roadmaps.

Can I use raw support tickets and analytics data to generate roadmap recommendations?

Yes, you can input raw support tickets and analytics data alongside interviews to extract themes, rank findings by impact, and generate structured action-oriented roadmap recommendations.

How do I extract representative quotes and frequency counts from qualitative research?

Extract representative quotes and frequency counts by applying qualitative analysis to your research notes, identifying recurring patterns, and structuring them into a prioritized findings matrix.

What is the best way to handle privacy when synthesizing feedback from multiple sources?

The best way to handle privacy when synthesizing feedback is to apply safe, privacy-conscious data handling practices during thematic analysis to protect user information across interviews and support tickets.

Does thematic synthesis work for mixed data sources like interviews and support tickets?

Thematic synthesis works effectively for mixed data sources by applying qualitative analysis across interviews, surveys, and support tickets to extract unified themes and prioritize findings.