user-research-synthesis

Synthesize qualitative research data into structured insights with follow-up actions.

285|39|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/shawnpang/startup-founder-skills --skill user-research-synthesis-shawnpang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: user-research-synthesis
Source: https://github.com/shawnpang/startup-founder-skills/tree/main/skills/user-research-synthesis
Command: npx skills add https://github.com/shawnpang/startup-founder-skills --skill user-research-synthesis-shawnpang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams transform raw qualitative data into structured, actionable insights to inform product decisions.

Core Features & Use Cases

  • Read and synthesize transcripts, survey responses, support tickets, NPS verbatims, and community posts into concise insights.
  • Apply Jobs-To-Be-Done framing to articulate customer needs and desired outcomes.
  • Produce structured outputs with metadata, current solutions, problems, key discoveries, and clear follow-up actions.

Quick Start

Provide the raw data sources (transcripts, survey responses, support tickets) and request a structured JTBD-aligned synthesis.

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 qualitative research data into actionable insights?

To synthesize qualitative research, provide raw data sources like transcripts, surveys, or support tickets for processing into structured, actionable insights aligned with Jobs-To-Be-Done framing.

Can I use interview transcripts and NPS verbatims for qualitative synthesis?

Yes, qualitative synthesis supports interview transcripts and NPS verbatims, reading across multiple data sources to extract metadata, identify problems, and produce structured customer insights.

What is the best way to structure customer needs from survey responses?

The best way to structure customer needs from survey responses is applying Jobs-To-Be-Done framing to articulate desired outcomes, producing outputs with metadata, key discoveries, and follow-up actions.

How do I turn community posts and support tickets into product decisions?

Turn community posts and support tickets into product decisions by synthesizing them into concise insights that highlight current solutions, customer problems, and clear follow-up actions for teams.

Does qualitative research synthesis work without coding or tagging data?

Yes, qualitative research synthesis works directly on raw data without manual coding, automatically extracting metadata and applying JTBD framing to generate structured outputs for product teams.