Product Market Fit Assessment
Answer 12 questions about your retention, growth, and user dependency to find out if you have PMF - before running a formal survey.
Retention signals
Are users coming back unprompted, activating quickly, and expanding usage over time?
Growth signals
Are users referring others, is CAC declining, and is inbound interest growing organically?
Dependency signals
Do users react when things break, integrate it into their workflow, and advocate for adoption?
Assessment vs the Sean Ellis survey
These two tools answer different questions. Use both.
This assessment
- →Founder answers - based on what you observe
- →Qualitative signals across 3 dimensions
- →No minimum response count needed
- →Good starting point before you have 40+ users
Sean Ellis PMF survey
- →Users answer - based on what they actually feel
- →Quantitative - a single benchmark score
- →Requires 40+ responses for accuracy
- →The definitive PMF benchmark - 40% = you have it
Signs you think you have PMF but don't
These are the four signals that fool founders into thinking they have product market fit when they do not.
High signups, low retention
A spike in signups from a launch, press hit, or ProductHunt post feels like traction. It is not PMF. PMF is measured by what happens 30 days after signup, not on day one. If your retention curves drop sharply after week one, you have distribution - not fit.
Good NPS from people who know you
Friends, accelerator peers, and warm intros are polite. They give you 9s and 10s because they like you. True NPS from strangers who found you through search or referral is a very different number. Do not average the two.
High engagement from a tiny segment
Three users who use your product every day and love it is not PMF - it is a signal. If you cannot expand beyond your founding users to strangers with the same profile, you have a seed of fit, not fit itself.
Revenue without retention
Annual contracts and upfront payments hide churn. A customer who paid for a year but never logs in will not renew. Real PMF shows in monthly active usage and expansion revenue - not in closed deals.
How to move from approaching to confirmed PMF
Scoring 50–69% means you have real signals. Here is how to close the gap.
Identify your best users
Segment your retention data. Find the cohort - by role, company size, use case, or acquisition source - that retains at 60%+. That is where your PMF lives. Stop averaging across everyone.
Build for the best segment, ignore the rest
Every feature request from a low-retaining user is a distraction. Interview your highest-retaining users, understand what they use, and build more of that. Narrow before you expand.
Run the Sean Ellis survey now
Even at 22% very disappointed, the open-text responses will tell you exactly what to fix. Segment by your best cohort - you may find they score at 45% while the overall number hides it.
Frequently Asked Questions
What is a product market fit assessment?+
A product market fit assessment is a structured self-evaluation that helps founders determine if their product has PMF based on observable signals - retention patterns, organic growth, and user dependency - before or without running a formal PMF survey. It measures qualitative signals that precede the data you would collect with the Sean Ellis test.
How is a PMF assessment different from the Sean Ellis survey?+
The Sean Ellis survey asks your users "How would you feel if you could no longer use this product?" and requires at least 40 responses to be statistically meaningful. A PMF assessment asks the founder questions about observable behavior - retention rates, referral patterns, user reactions to downtime. The assessment is qualitative and founder-facing; the Sean Ellis survey is quantitative and user-facing. Use the assessment first, then validate with the survey.
What are the signs that you have product market fit?+
Key signs include: day-30 retention above 40%, users referring others without a formal referral program, users complaining vocally when features break, organic inbound interest without active pitching, declining customer acquisition cost as volume grows, and users integrating the product into their daily workflow.
What score indicates product market fit in this assessment?+
Scoring 70% or above across all three dimensions indicates strong product market fit signals. 50–69% means you are approaching PMF - iterate on your weakest dimension. Below 50% means significant work remains before scaling. After completing the assessment, validate with the Sean Ellis PMF survey to get a hard data benchmark.
Can you have product market fit without knowing it?+
Yes. Many founders have PMF in a sub-segment and miss it because they are averaging across all users. If your overall retention is 25% but one user cohort retains at 60%, you have PMF for that cohort - you just have not identified and focused on it yet. Segmenting your data is how you surface it.
Related resources
Validate your assessment with real user data
Mapster runs the Sean Ellis survey on your active users, segments responses automatically, and shows you exactly which users would be very disappointed without your product.
Run Your Free PMF SurveyNo credit card required