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Conducting User Interviews

Community
cnfeat
conducting-user-interviews

Help users run better customer and user interviews. Use when someone is preparing for user research, planning discovery interviews, writing interview questions, analyzing interview findings, or trying to understand customer needs.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill nameconducting-user-interviews
Stars
55
Forks
6
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cnfeat on GitHub. Read the source before you install it.

Installation

Install the Conducting User Interviews 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.
    https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/conducting-user-interviews
  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.

Use it in TypingMind

Enable Conducting User Interviews 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 Conducting User Interviews 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 Conducting User Interviews 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.

Conducting User Interviews

Help the user run better discovery conversations and extract real insights using techniques from 43 product leaders.

How to Help

When the user asks for help with user interviews:

  1. Understand their goal - Ask what they're trying to learn (validating a problem, testing a solution, understanding behavior, pricing research)
  2. Help them prepare - Suggest questions, warn against common mistakes, help them find the right participants
  3. Coach on technique - Share principles for getting honest, useful answers rather than polite validation
  4. Help analyze findings - Assist in synthesizing what they learned into actionable insights

Core Principles

Collect stories, not opinions

Teresa Torres: "Interviewing is a grossly underestimated skill. If you're not collecting rich stories, you won't identify opportunities." Don't ask "What do you like?" Ask "Tell me about the last time you..."

Only interview people who've taken action

Bob Moesta: "I only talk to people who've already tried to make progress. What made them try? Ignore 'bitching' (complaining)—look for 'switching' (actual behavior change)."

Watch, don't just ask

Gustaf Alstromer: "The best way to understand problem intensity isn't asking—it's watching. Have them screen share and walk through their daily workflow. Look for pain they've normalized."

Avoid pitching

Jeff Weinstein: "Don't start with 'Hi, I'm the CEO of X, we do Y, let me show you a demo.' What a wasted opportunity. Listen first. Use silence to let them open up."

Falsify, don't validate

Judd Antin: "We don't validate, we falsify. We look to be wrong. Many PMs want to be right—they do user-centered performance, not real research."

Never ask what they want built

Judd Antin: "A researcher who asks customers what they want is a bad researcher. Focus on understanding behaviors and problems—not having users design your solution."

Probe for the emotion

Nan Yu: "My goal is to feel bad the same way customers feel bad. Dig past the feature request to find the underlying negative emotion motivating it."

Drop the discussion guide

Bob Moesta: "Not having a script drives people crazy, but rigid guides prevent you from following meaningful threads. Use the Four Forces (push, pull, anxiety, habit) as mental framework instead."

Right-size your sample

Shaun Clowes: "Between 7-14 interviews, you stop learning new things. Less than 7, not enough data. More than 14, diminishing returns."

Expect 90% rejection

Gustaf Alstromer: "90% of people aren't early adopters. You need to reach 10 to find 1. Rejection isn't failure—it's filtering for the right users."

Get direct exposure

Marty Cagan: "I wasn't allowed to make product decisions until I'd visited 30 customers. Those visits changed my life—I thought I knew our customers and I really didn't."

Respond with extreme speed

Jeff Weinstein: "When a customer goes out of their way to share a problem, that's a gift. I'll leave a meeting to reply. Be 'text message friendly' with 5-10 power users."

Interview the non-users

Mihika Kapoor: "The most insightful conversations are with non-users. Ask why they're not using your product—you'll find perception gaps users can't see."

Test willingness to pay

Jeff Weinstein: "Have them send you a $1 invoice right now. The gap between 'willingness to pay' and actually paying is massive. This tests real commitment."

Co-create with lighthouse users

Tanguy Crusson: "Work with 10 'lighthouse' users over months. Put them in Slack with your team. Involve engineers directly so they build empathy."

Questions to Help Users

  • "What are you trying to learn from these interviews?"
  • "Are you interviewing people who've already tried to solve this problem?"
  • "How are you recruiting participants?"
  • "What's your opening question? (Make sure it asks for a story, not an opinion)"
  • "How will you avoid leading questions?"
  • "What will you do with the findings?"

Common Mistakes to Flag

  • Leading questions - "Don't you think X would be better?" just gets agreement
  • Asking about hypotheticals - "Would you use this?" is meaningless; behavior matters
  • Pitching during research - You're there to learn, not sell
  • Too few interviews - 2 isn't enough; aim for 7-14
  • Delegating observation - PMs and designers must be in the room, not reading reports

Deep Dive

For all 64 insights from 43 guests, see references/guest-insights.md

Related Skills

  • Analyzing User Feedback
  • Defining Product Vision
  • Measuring Product-Market Fit
  • Designing Surveys

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Conducting User Interviews AI skill do?

Help users run better customer and user interviews. Use when someone is preparing for user research, planning discovery interviews, writing interview questions, analyzing interview findings, or trying to understand customer needs.

Why use Conducting User Interviews on TypingMind?

Because you install it once and use it with any model. Conducting User Interviews 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 Conducting User Interviews in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/conducting-user-interviews. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Conducting User Interviews?

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 Conducting User Interviews?

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

Is the Conducting User Interviews AI skill free?

Yes. It is published on GitHub by cnfeat 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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