user-research-methods

Analyzes qualitative and quantitative user data into structured insights and prioritized actions.

4|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill user-research-methods-ai-foundry-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: user-research-methods
Source: https://github.com/AI-Foundry-Core/ril-agents/tree/main/plugins/product-discovery/skills/user-research-methods
Command: npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill user-research-methods-ai-foundry-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Qualitative and quantitative user data from interviews, surveys, usability tests, support tickets, and app reviews often arrive as unstructured notes. This skill provides systematic methods to synthesize these inputs into structured insights, themes, and actionable recommendations.

Core Features & Use Cases

  • Systematic synthesis of interview transcripts, surveys, usability notes, and support tickets into clear themes and actionable recommendations.
  • Generation of structured artifacts such as research summaries, affinity maps, and prioritized findings.
  • Use case: a product team consolidates multiple data sources into a unified findings document with recommended actions.

Quick Start

Prompt the system to synthesize the latest user interviews and surveys into a structured findings document.

Frequently Asked Questions about user-research-methods

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

FAQPage Schema
How do I synthesize user interview transcripts into structured themes?

Synthesize user interviews by applying systematic coding to transcripts, generating traceable themes and actionable recommendations. This process transforms unstructured qualitative notes into structured artifacts like research summaries and prioritized findings for product decisions.

What is the best way to analyze survey results and support tickets together?

Analyzing surveys and support tickets together involves consolidating multiple data sources into a unified findings document. Systematic synthesis generates clear themes, affinity maps, and prioritized actions from these mixed quantitative and qualitative inputs.

Can I use this to process app reviews and usability test notes?

Yes, you can process app reviews and usability test notes. The synthesis method applies systematic coding to these inputs to extract clear themes, structured insights, and recommended actions for product teams.

How do I create an affinity map from unstructured user research data?

Create an affinity map by systematically coding unstructured user research data to generate traceable themes. This structured synthesis produces visual artifacts that consolidate interview notes and usability findings into prioritized recommendations.

What artifacts can I generate from research synthesis?

Research synthesis generates structured artifacts including research summaries, affinity maps, and prioritized findings documents. These outputs consolidate themes and gap analyses into actionable recommendations for product decisions.