What qualifies as 'bad data' in customer interviews?

Bad data includes compliments ('I love it!'), fluff (generic claims like 'I usually...'), and feature ideas from users, which distract from understanding their actual problems.

Can I use this skill to prepare for sales calls?

Yes, while primarily for discovery, the framework is excellent for the 'qualification' phase of sales to see if a prospect actually has the problem you solve.

How does this skill help avoid building the wrong product?

It helps you identify 'false positives'—instances where people are just being polite—and forces you to look for evidence of real problems people are already trying to solve.

What is the core principle of The Mom Test skill?

The core principle is to extract truth by asking about a person's life and past behaviors instead of pitching your idea or asking for opinions about the future.

What are 'The Big 3' questions mentioned in the process?

These are the three most important, specific questions your team needs answered during an interview to move your product understanding forward.

The Mom Test Methodology

Name: The Mom Test Methodology
Author: lev-os

bylev-os

0•

생산성 및 워크플로

Guides users through the Mom Test customer interview framework to extract truthful insights and validate product ideas through past behavior.

This skill implements Rob Fitzpatrick’s 'The Mom Test' framework, helping founders and product managers conduct customer interviews that reveal the truth rather than polite lies. It provides structured guidance on asking about specific past behaviors, avoiding hypothetical questions, and filtering out 'bad data' like compliments or future promises. By using this skill, teams can effectively validate product-market fit, identify genuine pain points, and ensure they are building solutions based on real-world evidence rather than vanity validation.

주요 기능

010 GitHub stars

02Guidance on securing concrete customer commitments (time, money, reputation)

03Framework for asking behavior-based questions over hypotheticals

04Templates for identifying the 'Big 3' critical discovery questions

05Anti-pattern detection for leading or biased questions

06Detection and filtering of 'bad data' (compliments, fluff, and ideas)

사용 사례

01Training product teams on effective customer development and discovery techniques

02Validating a new product concept before beginning development

03Conducting user research to prioritize a feature roadmap based on real pain

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents mom-test

For use in Claude.ai and ChatGPT

Download Skill