Measure product-market fit
the way the best teams do
The Sean Ellis PMF survey centers on one core question: “How would you feel if you could no longer use this product?” Canviq implements the full four-question Superhuman expansion — the disappointment benchmark plus three open-ended follow-ups that identify your High-Expectation Customer and segment respondents by persona. The share who answer “very disappointed” is your PMF score. 40% or more indicates product-market fit. Canviq automates the survey, tracks the score over time, and surfaces actionable segment data — all without leaving your workflow.
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What is the Sean Ellis PMF survey?
In 2010, Sean Ellis — who coined the term “growth hacker” and led growth at Dropbox, Eventbrite, and LogMeIn — published a single survey question that became the industry standard for measuring product-market fit:
“How would you feel if you could no longer use [product]?”
(a) Very disappointed (b) Somewhat disappointed (c) Not disappointed
After surveying hundreds of startups, Ellis found a clear threshold: companies where 40% or more of users chose “very disappointed” consistently had strong word-of-mouth growth. Below 40%, growth was fragile. The insight became a benchmark every B2B SaaS founder now uses to evaluate whether to optimize or pivot.
Superhuman later expanded the methodology by introducing the concept of the High-Expectation Customer (HXC): the most demanding user who still finds meaningful value in the product. Optimizing for the HXC — not the average user — is what produces breakthrough PMF improvements.
Canviq implements the full Sean Ellis + Superhuman methodology in a single platform: the 4-question survey, automatic HXC identification, persona segmentation, and trend tracking across survey waves. Your PMF score is always live, always segmented, and always connected to your engineering workflow.
How it works
PMF measurement on autopilot
Canviq handles the survey deployment, score calculation, HXC identification, and segment analysis — so you can focus on acting on the data, not collecting it.
The 40% threshold
Sean Ellis discovered that companies that have found product-market fit reliably have 40% or more of their users say they would be "very disappointed" if the product disappeared. Below 40%, growth stalls. Above it, word-of-mouth compounds.
The HXC (High-Expectation Customer)
The Superhuman method adds a second lens: find the user who is most demanding yet still finds value. That is your High-Expectation Customer. Build the roadmap around them and you build for the market, not the mean.
Auto-segmentation by persona
Canviq groups respondents automatically by role, company size, and engagement level. You see your PMF score for each segment — not just an undifferentiated average — so you know exactly which persona has already found fit.
Trend tracking over time
A single PMF snapshot is noise. Canviq tracks your score across survey waves so you can see whether product changes are moving you toward or away from the 40% threshold.
Automated follow-up workflows
Low PMF score from a specific segment? Canviq can auto-create a GitHub issue, assign a team member, and add the respondent to a follow-up segment — without a human in the loop.
Roadmap optimizer
Canviq cross-references PMF segment data with your feedback board votes to surface the changes most requested by your "very disappointed" promoters — your High-Expectation Customers. Build for the users who define your market, not the mean.
Start measuring your PMF score today.
Deploy the Sean Ellis survey, track your score toward 40%, and identify your High-Expectation Customer — in one platform.
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