user-interviews
Skill15 starsChanged 47 days agoMITView on GitHub
Plan, conduct, and analyze user interviews. Generate interview guides, process transcripts, extract nuggets and themes, synthesize findings.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- emotixco/claude-skills-foundertheir own version, first seen Oct 7, 2026
- chuhaiqu/skillstheir own version, first seen Aug 10, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- emotixco/claude-skills-founder★ 796same name
- chuhaiqu/skills★ 22same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository47 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- affinity-mappingSkill
- empathy-mappingSkill
- hmw-statementsSkill
- journey-mappingSkill
- jtbd-analysisSkill
- kappa-thematic-analysisSkill
- persona-creationSkill
- prioritization-matrixSkill
- research-synthesisSkill
- taxonomy-generatorSkill
- thematic-analysisSkill
- user-flow-mappingSkill
- design-system-auditSkill
- handoff-documentationSkill
- longitudinal-trackingSkill
- nps-analysisSkill
- regression-impactSkill
- repository-curationSkill
- research-retroSkill
- stakeholder-presentationSkill
- sus-umux-scoringSkill
- task-analysis-quantSkill
- ab-test-analysisSkill
- card-sortingSkill
- cognitive-walkthroughSkill
- concept-testingSkill
- design-critiqueSkill
- heuristic-evaluationSkill
- prototype-feedbackSkill
- tree-testingSkill
- usability-testingSkill
- workshop-facilitationSkill
- accessibility-auditSkill
- analytics-reviewSkill
- channel-research-deploymentSkill
- competitive-analysisSkill
- contextual-inquirySkill
- desk-researchSkill
- diary-studiesSkill
- field-studiesSkill
- interview-question-generatorSkill
- stakeholder-interviewsSkill
- survey-ai-detectionSkill
- survey-designSkill
- survey-generatorSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 47
Always record with consent
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
User Interviews
Capabilities
- Generate semi-structured interview guides from research questions and project context
- Process interview transcripts (TXT, PDF, DOCX) — extract nuggets, themes, patterns
- Identify follow-up questions and research gaps
- Synthesize findings across multiple interviews with cross-cutting themes
- Calculate intercoder reliability when multiple coders are involved
Workflow
- Plan — Provide research questions → receive interview guide with probes
- Conduct — Use the guide (Istara provides facilitation tips)
- Upload — Drop transcript files into the project
- Analyze — Istara extracts nuggets, tags themes, scores confidence
- Synthesize — Cross-interview patterns → facts → insights → recommendations
Input
- Research questions (text)
- Interview transcripts (TXT, PDF, DOCX, MD)
- Project context (auto-loaded from context layers)
Output
- Interview guide (Markdown)
- Nuggets with source references and timestamps
- Thematic analysis with strength indicators
- Pain points with severity ratings
- Synthesis report with cross-cutting themes and evidence chains
Best Practices
- 5-8 participants per segment for saturation
- 45-60 min per session
- Always record with consent
- "Tell me more" > "Did you like it?"
- Probes yield the best insights, not scripted questions
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

