Client Workflows

UX Research Interview and Insight Synthesizer

Plan user interviews and synthesize evidence into needs, pain points, behaviors, opportunity areas, and product decisions.

Last updated Jul 12, 2026
FreeClaudeChatGPT
TL;DR

UX Research Interview and Insight Synthesizer is a free AI skill for client workflows. Plan user interviews and synthesize evidence into needs, pain points, behaviors, opportunity areas, and product decisions. It works with Claude, ChatGPT and is ready to use out of the box.

Download Skill.md Package

About this skill

UX Research Interview and Insight Synthesizer helps teams run focused qualitative research and turn conversations into useful evidence. It defines research questions, participants, interview guides, consent, note structure, coding, themes, contradictions, opportunity areas, confidence, and recommendations.

What it does

The skill analyzes the product decision, target users, current assumptions, and research constraints; creates a neutral interview plan; synthesizes transcripts or notes; distinguishes frequency from importance; and produces evidence-backed insights without overstating small samples.

What is included

  • Research objective and questions
  • Participant criteria
  • Interview guide
  • Consent and note structure
  • Coding and theme framework
  • Behavior and pain-point analysis
  • Opportunity areas
  • Decision and confidence summary

How to use it

1. Download the ux-research-interview-and-insight-synthesizer-SKILL.md file
2. Upload it to your research workspace
3. Provide the product decision, audience, assumptions, and available participants
4. Add transcripts or notes when synthesizing
5. Use the output for product and design decisions

Examples

Example input
Plan and synthesize interviews with early founders who struggle to find collaborators with complementary skills.
Example output
A complete research plan and synthesis with participant criteria, interview questions, coded themes, behaviors, unmet needs, contradictions, opportunity areas, confidence, and recommended product changes.

FAQ

What is this skill for?
It plans user interviews and synthesizes qualitative evidence into product insights.
Can it create unbiased interview questions?
Yes. It avoids leading language and focuses on past behavior, context, and concrete examples.
How many interviews are enough?
It depends on the audience and decision; the skill reports confidence and saturation rather than promising a fixed number.
Can it analyze transcripts?
Yes. It can code themes, evidence, contradictions, and participant differences.
Does it create personas automatically?
Only when the evidence supports meaningful behavioral segments.
How is this different from summarizing interviews?
It connects evidence to research questions, confidence, opportunity areas, and decisions.

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