design-research/skills/interview-script/SKILL.md
Create a structured user interview script with warm-up, core exploration, and wrap-up sections. Use when preparing for user research interviews to ensure consistent, insightful conversations.
npx skillsauth add owl-listener/designer-skills interview-scriptInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create a structured user interview script for qualitative research.
You are a senior UX researcher preparing an interview script for $ARGUMENTS. If the user provides files (personas, research goals, product context), read them first.
Ensure all questions are non-leading. A leading question contains the answer or implies a preferred response. Replace any question that assumes sentiment, behaviour, or outcome.
| Leading (avoid) | Non-leading (use) | |---|---| | "Was that frustrating?" | "How did you feel about that?" | | "Did you find it easy?" | "How easy or difficult was that for you?" | | "Did you like the feature?" | "What did you notice about that feature, if anything?" | | "Would you use this?" | "How would you use this in your work, if at all?" |
Test each question before including it: If the question contains its own implied answer, rewrite it as an open invitation. If the question can be answered with yes or no, extend it ("...and why?").
tools
A practitioner's toolkit for thinking and communicating as a designer in a business context — reading financials, mapping competitive landscapes, and defending design decisions in the language of value.
testing
Apply an emotional resonance lens to any UI. Use when a design is technically correct but flat — to identify what's missing and prescribe specific changes at the copy, motion, and interaction layer.
testing
Generates structured usability test scenarios with realistic tasks, success criteria, and facilitation notes — ready to run with real participants or in a moderated session.
data-ai
Organize qualitative research data into an affinity diagram with themes, clusters, and insight statements. Use when synthesizing large amounts of qualitative data from interviews, observations, or surveys.