User Interview Prep

SkillAI & models

Generate a complete user research brief with hypotheses, interview guide, and open-ended questions. Takes a research topic or hypothesis and returns a ready-to-use interview kit.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the User Interview Prep skill

What this skill tells your AI

The instructions your AI receives, as published by mehdibargach/claude-code-pm-skills in skills/user-interview-prep/SKILL.md and read by ahel’s review.

Generate a structured research brief and interview guide that a PM can use immediately. The goal is to go into interviews with clear hypotheses, unbiased questions, and a plan to learn — not confirm.

Process

  1. Clarify the research goal — Restate the input as a single, testable research question. If the input is vague, sharpen it. A good research goal starts with "Understand..." or "Discover..." — never "Validate..." or "Confirm...".
  2. Surface assumptions — List 3-5 hypotheses the PM is likely carrying into this research. These are the things that need to be tested, not confirmed.
  3. Design the interview flow — Structure a 30-minute interview with warm-up, core exploration, and wrap-up sections. Each section has a purpose and time allocation.
  4. Write the questions — Generate open-ended, non-leading questions. Follow the "Mom Test" principles: ask about their life, not your idea. Ask about the past, not hypothetical futures.
  5. Add observation notes — Flag what to watch for beyond words: body language, hesitation, workarounds they mention, emotional signals.

Output Format

Research Goal

One sentence. Clear, specific, learnable.

Hypotheses to Test

#HypothesisHow We'll Know If It's TrueHow We'll Know If It's False
1.........
2.........
3.........

Interview Guide

Warm-up (5 min) — Build rapport, understand context.

  • Question 1
  • Question 2

Core Exploration (20 min) — Dig into the problem space.

  • Question 3
  • Question 4
  • ...

Wrap-up (5 min) — Capture anything missed, get referrals.

  • Question N
  • "Is there anything I should have asked but didn't?"

Things to Watch For

Bullet list of behavioral signals, hesitations, or workarounds to note during the interview.

Anti-Patterns to Avoid

Bullet list of common interviewer mistakes specific to this topic (leading questions, pitching solutions, etc.).

Rules

  • Never write a question that starts with "Would you..." or "Do you think...". These invite hypothetical answers. Ask about past behavior instead.
  • Every question must pass the Mom Test: would you get honest, useful data even if you asked your mom?
  • No more than 12 questions total. Quality over quantity — each question should earn its place.
  • Include at least 2 follow-up prompts per core question (e.g., "Tell me more about that", "What happened next?").
  • Write in English.
  • Keep the entire output under 2 pages. A PM should be able to print this and bring it to the interview.
  • Be opinionated: if a hypothesis seems weak or untestable, call it out and suggest a better one.
  • Do not include questions about the PM's product or solution. This is about understanding the problem.

Signals

GitHub stars
97
Forks
37
Last commit
Mar 2026
Advanced
Catalog kind
skill
Gateway key
user-interview-prep
Source
github.com/mehdibargach/claude-code-pm-skills