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Interview Script

CommunityPopular
Owl-Listener
interview-script

Write a structured interview guide — warm-up, core exploration, and wrap-up. Use before running interviews. For analysing what comes back, use `summarize-interview`.

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill nameinterview-script
Stars
2.7K
Forks
384
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Interview Script AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Owl-Listener/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/design-research/skills/interview-script .claude/skills/interview-script
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interview Script in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Interview Script on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Interview Script is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Interview Script

Create a structured user interview script for qualitative research.

Context

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.

Domain Context

  • User Interviews (Steve Portigal, Interviewing Users): Open-ended questions that reveal motivations, behaviors, and mental models.
  • Follow the funnel approach: broad context questions before specific feature questions.
  • Use JTBD probing: When did you last...? What were you trying to accomplish? What happened next?
  • Avoid leading questions, hypotheticals, and yes/no questions.

Instructions

  1. Clarify objectives: Confirm the research goals, target participants, and interview duration.
  2. Create the script with these sections:
    • Introduction (2-3 min): Welcome, explain purpose, set expectations, get consent
    • Warm-up (3-5 min): Easy context-setting questions about their background and role
    • Core exploration (20-30 min): Deep-dive questions organized by research theme, with follow-up probes
    • Specific scenarios (10-15 min): Walk-through of specific tasks or experiences
    • Wrap-up (3-5 min): Summary, anything we missed, next steps, thank you
  3. Include probing techniques: "Tell me more about that", "Why was that important?", "What happened next?"
  4. Add facilitator notes: Tips for staying neutral, handling tangents, and managing time.
  5. Think step by step. Present the script in a ready-to-use format.

Question Quality Guardrails

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?").

Further Reading

  • Interviewing Users — Steve Portigal
  • Just Enough Research — Erika Hall

Frequently asked questions

What does the Interview Script AI skill do?

Write a structured interview guide — warm-up, core exploration, and wrap-up. Use before running interviews. For analysing what comes back, use `summarize-interview`.

Why use Interview Script on TypingMind?

Because you install it once and use it with any model. Interview Script is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Interview Script in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/interview-script. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Interview Script?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Interview Script?

As many as you like. As long as a model supports skills, you can use Interview Script with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Interview Script AI skill free?

Yes. It is published on GitHub by Owl-Listener under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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