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How to Measure Product-Market Fit

Run the Sean Ellis test to find out whether you have product-market fit — and what to fix if you don't

Product-market fit is usually discussed as a feeling. It doesn't have to be. The Sean Ellis test turns it into a single number you can track over time, and the follow-up questions tell you exactly which customers to build for next.

The core question is deceptively simple: "How would you feel if you could no longer use [product]?"

If 40% or more of your users answer "Very disappointed," you have product-market fit. Below that, you don't yet — and the survey itself tells you why.

Building the survey

Slide 1 — The benchmark question

Add a Single Choice slide:

How would you feel if you could no longer use [product]?

  • Very disappointed

  • Somewhat disappointed

  • Not disappointed

  • N/A — I no longer use it

This is the only question that produces your score. Don't reword it. The 40% threshold comes from benchmarking across hundreds of companies that asked it in exactly this form, and a "creative" rewrite makes your number incomparable.

Slide 2 — The "why"

Add a Long Answer slide:

What is the main benefit you get from [product]?

Answers from your "Very disappointed" group are the most valuable text you will collect all year. This is your positioning, written by the people who already love you.

Slide 3 — The improvement question

Add another Long Answer slide:

How can we improve [product] for you?

Use Slide Logic to branch on the answer to Slide 1:

  • "Very disappointed" → ask what would make it even better. These are refinements — ship them.

  • "Somewhat disappointed" → ask what's missing. This group is the closest to conversion into the "very disappointed" bucket, and their answers are your roadmap.

  • "Not disappointed" → end the survey. Building for this group pulls you away from the customers who actually want you.

This branching is the whole point of the exercise. The score tells you whether you have fit; the segmented open-ends tell you how to get there.

Slide 4 — Who they are

Add a Single Choice slide asking for role, company size, or use case — whatever distinguishes your segments. You'll use this to find out which segment is driving the score.

Where to run it

  • On-site, targeted to logged-in users — Use Targeting Settings to reach people who have used the product enough to have an opinion. Someone who signed up yesterday can't answer honestly.

  • Email to active users — Reach people in their own time rather than interrupting a session. See Email Zigpoll Surveys.

  • Triggered at a usage milestone — Fire the survey after a customer's third order or their tenth session with a Custom Survey Trigger.

Only survey people who have genuinely experienced the product. Including trialists who never activated will drag your score down and tell you nothing actionable.

Reading your score

Your PMF score is the percentage of respondents who answered "Very disappointed."

Score
What it means
What to do

40%+

You have product-market fit

Shift focus to growth and distribution

25–40%

Close

Double down on the segment that scores highest; cut the rest

Under 25%

Not yet

The product or the target customer is wrong — read the "somewhat disappointed" answers

The score in aggregate is less useful than the score by segment. It's common to see a blended 30% that hides a 55% among one customer type and 10% among another. That 55% segment is your business; the rest is noise. Filter by your Slide 4 answers in the dashboard, or ask Z-GPT Chat in the Insights tab to break the score down by segment for you.

Making it a habit

PMF is not a one-time measurement. Leave the survey running and check the score quarterly:

  • Rising — your recent work is landing with the right people.

  • Flat despite shipping a lot — you're building for the "not disappointed" crowd.

  • Falling — you're acquiring the wrong customers, which is usually a marketing problem, not a product one.

Sync responses to Google Sheets to chart the score over time, and use Slide Logic to post every "Very disappointed" response straight into Slack so the team sees them as they arrive.

Related

How to Prioritize Your Product RoadmapHow to Build Your Ideal Customer ProfileHow to Reduce Churn and Cancellations

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