owl-listener/designer-skills

interview-script

Write a structured interview guide — warm-up, core exploration, and wrap-up.

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使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/owl-listener/designer-skills --skill interview-script

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

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
  1. Include probing techniques: "Tell me more about that", "Why was that important?", "What happened next?"
  2. Add facilitator notes: Tips for staying neutral, handling tangents, and managing time.
  3. 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

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