Product market fit

Skill mfwarren/entrepreneur-claude-skills/skills/product-strategy/product-market-fit

Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.

Install

npx -y skills add mfwarren/entrepreneur-claude-skills --skill product-market-fit

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SKILL.md

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Product-Market Fit

PMF surveys, Sean Ellis test, retention analysis, and pivot frameworks.

Purpose

Determine whether you've found product-market fit and, if not, what to change. PMF is the single most important milestone for any startup.

Workflow

Step 1: Gather Context

Product/service description
Current customer count and engagement
How customers find you today
Retention/repeat usage data (if available)
What customers say they love (and hate)

Step 2: Sean Ellis Test Design

Survey question: "How would you feel if you could no longer use [product]?"

Very disappointed
Somewhat disappointed
Not disappointed
N/A — I no longer use it

Benchmark: 40%+ "Very disappointed" = PMF signal

Design the full survey (5-8 questions) to understand:

Who are the most passionate users?
What's the primary benefit they get?
What would they use as an alternative?
How did they discover you?

Step 3: PMF Assessment

Based on data provided:

Strong PMF signals: High retention, word-of-mouth growth, pull from customers
Weak PMF signals: High churn, feature requests that change the core, price sensitivity
No PMF signals: Growth only from paid acquisition, low engagement, high support volume

Step 4: Pivot Framework (if needed)

If PMF isn't there, evaluate:

Zoom in: Double down on the feature users love most
Zoom out: Your feature should be a platform
Customer pivot: Same product, different audience
Need pivot: Same audience, different problem
Channel pivot: Same product, different distribution

Step 5: Action Plan

Concrete next steps based on assessment.

Output Format

## PMF Assessment: [Product]

### Current Signals
| Signal | Status | Evidence |
|--------|--------|----------|
| Retention | [Strong/Weak] | [Data] |
| Word of mouth | [Strong/Weak] | [Data] |

### Sean Ellis Survey
[Survey questions]

### Assessment
[PMF status and reasoning]

### Recommended Actions
1. [Action]
2. [Action]

Constraints

PMF is not binary — present it as a spectrum
Don't declare PMF based on vanity metrics (signups, downloads)
Be honest if the data suggests a pivot is needed
Note that PMF can be lost — it's not permanent