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PMF OS

Find out why users leave — before they all do

$99
one-time

See PMF OS in Action

Watch how it works in your terminal

Demo coming soon

Screen recording of PMF OS in action

The Problem

Users sign up but don't stick around. You're guessing what to fix. Without data, you're optimizing in the dark.

The Solution

PMF OS diagnoses your product like a doctor. Find your 'magic number', measure PMF with the Sean Ellis test, and run experiments that actually move retention.

Why PMF OS?

Without PMF OS

  • Guess why users aren't sticking around
  • Build features nobody asked for
  • No framework for measuring PMF
  • Waste months on the wrong problems
  • Pay $10k+ for PMF consultants

With PMF OS

  • Data-driven diagnosis of retention issues
  • Find your "magic number" that predicts success
  • Sean Ellis test to measure real PMF
  • Focused experiments that move metrics
  • One-time $99, PMF framework forever

What's Included

/diagnose - Full PMF diagnostic (where users drop off)
/magic-number - Find the action that predicts retention
/pmf - Run Sean Ellis test ("How disappointed would you be?")
/experiment - Design and track PMF experiments
/interview - Generate user interview questions
/patterns - Analyze user behavior patterns
PMF scoring framework (0-100)
Activation rate tracking
Retention cohort analysis
Handoff to Marketing OS when PMF achieved

See It In Action

pmf-os
$ npx @aiorg/cli add pmf-os
✓ PMF OS installed
$ claude
> /diagnose
✓ Analyzing user data...
✓ Activation rate: 23%
✓ Week-1 retention: 12%
⚠️ Diagnosis: Users don't reach "aha moment"
→ Run /magic-number to find it

Features

PMF diagnosis framework
Magic number discovery
Sean Ellis test measurement
Experiment tracking
User interview guides
Activation funnel analysis

Frequently Asked Questions

Ready to get started?

Get PMF OS for a one-time payment of $99. Lifetime updates included.

Or get all kits with the Complete Bundle for $199 (save $98)

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