Measure Product-Market Fit With Customer Feedback
Stop guessing whether you have product-market fit. Run the Sean Ellis survey, analyze open-ended feedback with AI, and track your progress toward fit over time.
The challenge
Most startups and product teams have no reliable way to measure product-market fit. These are the traps they fall into.
Guessing at product-market fit
Without a systematic way to measure PMF, teams rely on vanity metrics and gut feelings. Revenue growth alone does not prove you have found fit.
Building without validation
Engineering spends months on features that users never asked for. Without continuous feedback, the gap between what you build and what users need widens.
Founder bias
Founders and PMs are too close to the product to see it objectively. Confirmation bias leads to interpreting ambiguous signals as positive validation.
No systematic measurement
Running a PMF survey once gives you a snapshot. Without tracking over time, you cannot tell if you are moving toward fit or drifting away from it.
How FeedPulse helps
FeedPulse gives you the tools to measure, understand, and track product-market fit with real customer data.
Sean Ellis PMF survey
Run the industry-standard 'How would you feel if you could no longer use this product?' survey with one click. Benchmark against the 40% threshold.
NPS tracking over time
Complement PMF scores with NPS trends. Track how product changes, pricing adjustments, and market shifts affect user loyalty week over week.
Open-ended AI analysis
AI reads every open-ended response and groups them into themes. Understand not just the score, but the reasons behind it -- at scale.
Trend monitoring over time
Track your PMF score across releases, cohorts, and time periods. See exactly when and why fit strengthens or weakens.
Segment by user cohort
Break down PMF scores by user segment -- free vs. paid, new vs. retained, power users vs. casual. Find where fit is strongest.
How it works
Go from uncertainty to data-driven PMF measurement in four steps.
Launch your PMF survey
Create a Sean Ellis survey in under a minute. Customize the follow-up questions to understand the 'why' behind each response.
Target the right users
Survey users who have experienced your core value. Set triggers based on usage milestones, time in product, or custom events.
Analyze with AI
AI categorizes responses, detects sentiment, and surfaces the themes that matter most. No spreadsheets or manual tagging required.
Track progress over time
Monitor your PMF score across releases and cohorts. Set alerts when scores cross key thresholds. Build with confidence.
40%
The PMF threshold (Sean Ellis benchmark)
5 min
Time to launch your first PMF survey
AI
Powered theme and sentiment analysis
Weekly
Trend tracking and score alerts
Stop guessing. Start measuring.
Join product teams that use FeedPulse to measure product-market fit with real customer data. Free plan available -- no credit card required.