Measure PMF With Math, Not Feelings

Surveys routinely lie; retention curves do not. We digitized frameworks from Sean Ellis and leading VCs to give you a ruthless, math-based assessment of whether you actually have PMF, or if you're just burning cash to buy active users.

Used by 200+ founders to validate product-market fit

Assess Your Product-Market Fit

Product-Market Fit Scorecard

Assess your product's market fit across key dimensions

Retention Metrics

Score:0 / 30

User Engagement

Score:0 / 25

Growth Metrics

Score:0 / 25

Customer Satisfaction

Score:0 / 20

Overall Product-Market Fit Score

0 / 100
Needs Improvement

How to Interpret Your Score

80-100: Strong Product-Market Fit - Your product is well-aligned with market needs

60-79: Good Product-Market Fit - Solid foundation with room for improvement

40-59: Moderate Product-Market Fit - Some alignment, but significant work needed

0-39: Needs Improvement - Major gaps between product and market needs

Why Product-Market Fit Matters

Product-market fit is the moment when your product satisfies a strong market demand. It's the difference between pushing a boulder uphill and rolling it downhill.

Most startups fail not because they can't build the product, but because they build something nobody wants. This scorecard helps you identify gaps before they become fatal.

The 4 Dimensions of PMF

  • Retention Metrics: Do users come back? The strongest signal of PMF
  • User Engagement: How deeply do users interact with your product?
  • Growth Metrics: Is your product growing organically?
  • Customer Satisfaction: Do users love your product enough to recommend it?

The Cost of Not Knowing

  • Wasted engineering on features nobody uses
  • Burn rate without corresponding growth
  • Investor skepticism during fundraising
  • Team morale decline as growth stalls

Product-Market Fit Benchmarks

MetricWeak PMFModerate PMFStrong PMF
Day 1 Retention< 20%40-60%80%+
Day 30 Retention< 5%10-20%40%+
Monthly Churn> 10%3-5%< 1%
NPS Score< 020-4070+
Organic Growth< 5%/mo10-20%/mo40%+/mo

Who Should Use This Scorecard

Early-Stage Founders

Validate your assumptions before scaling. Know if you're ready for that next funding round.

"We thought we had PMF. The scorecard showed us we were at 35. We pivoted and got to 70." — YC Founder

Product Managers

Track PMF across product iterations. Make data-driven decisions about feature prioritization.

"Finally, a framework to discuss PMF with my team beyond gut feel." — PM at Series A

Investors

Evaluate portfolio companies objectively. Identify which companies need help vs. are ready to scale.

"I send this to every founder before our second meeting." — Angel Investor

Growth Teams

Understand if growth problems are product problems. Fix the leaky bucket before pouring more water.

"We were spending $50k/month on acquisition with 15% retention. Now we know why." — Growth Lead

How to Improve Your PMF Score

1. Fix Retention First

Before growth, ensure users stick. Interview churned users. Fix the onboarding experience.

Impact: 10% retention improvement = 2x LTV

2. Find Your Power Users

Identify users who love your product. Understand what makes them different. Find more like them.

Impact: Focus on the right ICP

3. Improve Core Value

What's the one thing users come back for? Make that experience 10x better. Cut features that distract.

Impact: Clearer product direction

4. Listen to Users

Set up feedback loops. Talk to 5 users every week. Build what they actually need, not what you think.

Impact: Better product decisions

5. Track Cohorts Religiously

New user cohorts should retain better than old ones. If not, you're degrading product quality.

Impact: Early warning system

6. Nail the Aha Moment

Find what makes users realize value. Optimize onboarding to get them there faster.

Impact: Faster time-to-value

Frequently Asked Questions

How reliable is this assessment?

It executes established, proven frameworks. However, the output is only as ruthless as your input. Use it to find structural weaknesses, not to validate your ego.

What if I lack the data for half the questions?

Answer what you can. A complete lack of data in a category is a massive red flag in itself. You cannot systematically improve a metric you refuse to measure.

When should determining PMF become a routine?

Early stage: assess monthly. Growth stage: push quarterly. Scale stage: re-verify bi-annually. PMF is a moving target that decays.

Get Your Detailed PMF Analysis Report

Your scorecard results are just the beginning. Get a personalized report with:

Dimension Deep-Dive

Detailed analysis of each PMF dimension

Industry Benchmarks

Compare against your industry

Action Plan

Prioritized steps to improve PMF

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Continue Learning

Case Studies

PFC Club

From 20% to 65% retention in 6 months

HealthOS

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Need Help Finding Product-Market Fit?

Let's talk about your product and how to improve your market fit.

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