Sean Ellis Test: Score, Questions, and the 40% Benchmark

What Is the Sean Ellis Test?

The Sean Ellis test is one of the best-known ways to evaluate whether users would genuinely miss a product if it disappeared. It can be a helpful PMF signal, especially when combined with retention and segment-level analysis, but it usually works best as part of a broader picture rather than as a standalone verdict. For founders, the value of the test is often not just the score itself, but what the responses reveal about where product value feels strongest.

The Sean Ellis test is a single-question survey that measures product-market fit:

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

Answer options:

Very disappointed
Somewhat disappointed
Not disappointed

The benchmark: If 40%+ say "Very disappointed," you have PMF.

Why This Test Works

Sean Ellis analyzed hundreds of startups and found:

Companies with 40%+ "very disappointed" consistently grew
Below 40%, growth was a struggle
The question captures emotional attachment, not just usage

This is one of the most reliable signs of product-market fit.

How to Run the Survey

Who to Survey

Right audience:

Active users (used product 2+ times)
Recent users (used in last 2 weeks)
Experienced core value (not day-1 signups)

Wrong audience:

One-time visitors
Churned users
People who signed up but never engaged

Sample Size

Minimum: 40 responses for directional insight
Reliable: 100+ responses for confidence
Segmented: 40+ per segment if comparing groups

Survey Timing

After users have experienced core value
Not immediately after a positive/negative event
Consistently (monthly/quarterly for tracking)

Additional Questions

Add these for actionable insights:

"What type of person would benefit most from [product]?"

- Helps refine ICP

"What is the main benefit you receive?"

- Reveals true value proposition

"How can we improve [product] for you?"

- Identifies gaps

Interpreting Results

Score Ranges

0-20%: No PMF – Major pivot likely needed
20-40%: Approaching PMF – Iterate aggressively
40-60%: PMF achieved – Ready to scale
60%+: Strong PMF – Exceptional product

Segment Analysis

Overall score can hide insights:

Slice by customer type
Slice by acquisition channel
Slice by use case
Slice by company size

You might have PMF in a segment but not overall. This is why defining your ICP matters.

Sean Ellis Score

The Sean Ellis score usually refers to the percentage of respondents who say they would be "very disappointed" if they could no longer use the product. The score can be useful because it provides a simple signal of emotional reliance, but it tends to be more meaningful when reviewed by segment rather than only as one overall average.

40% Very Disappointed Benchmark

The 40% benchmark is widely cited because it has often correlated with stronger growth outcomes in startup case studies. At the same time, it may be safer to treat it as a directional benchmark rather than a universal law. A result slightly below 40% does not automatically mean there is no fit, and a result above 40% does not remove the need to examine retention, churn, and willingness to pay.

Sean Ellis Survey Questions

The core Sean Ellis question is well known, but the follow-up questions are often what make the survey truly useful. Questions about who benefits most, what main value users get, and what is still missing can help founders understand where the strongest fit exists and where the product may need refinement. In many cases, the explanation behind the score is more actionable than the score itself.

What If You're Below 40%?

Step 1: Find Your Best Segment

Which users ARE very disappointed? What do they share?

Step 2: Double Down

Focus exclusively on that segment.

Step 3: Understand the Gap

Interview "somewhat disappointed" users:

What would make you "very disappointed"?
What's missing?
What almost works?

Use customer discovery techniques to dig deeper.

Step 4: Iterate and Retest

Make changes based on feedback. Survey again in 4-6 weeks.

Common Mistakes

1. Surveying Too Early

New users haven't experienced value. Wait until they have.

2. Small Sample Size

20 responses isn't enough. Get 40+ minimum.

3. Biased Distribution

Don't only survey your happiest users.

4. Ignoring Context

Score without segment analysis misses the story.

5. One-Time Measurement

PMF is a moving target. Track over time.

Limitations of the Test

What It Captures

Emotional attachment
Perceived value
Switching cost (emotional)

What It Doesn't Capture

Willingness to pay
Actual retention behavior
Growth potential
Unit economics

Use the Sean Ellis test alongside other PMF metrics, not alone.

Beyond the Survey

The Sean Ellis test is one signal. Also track:

Retention curves – Do users actually stay?
NRR – Do customers expand?
Organic growth – Do users refer others?
CAC payback – Are economics working?

Learn more in our comprehensive guide on how to measure PMF.

The Origin Story

Sean Ellis coined "product-market fit" measurement while working as first marketer at Dropbox, LogMeIn, and Eventbrite.

He noticed that companies where 40%+ users would be "very disappointed" grew efficiently. Those below 40% struggled regardless of marketing spend.

The test became the standard PMF measurement across Silicon Valley.

What If Results Suggest a Pivot?

If your Sean Ellis score stays below 40% despite iterations:

The problem might not be painful enough
Your solution might not fit the problem
You might be targeting the wrong customer segment

Consider whether it's time to pivot or persevere.

How Founders Can Interpret the Result Carefully

The quality of the sample matters. The timing matters. The customer segment matters. Because of that, the Sean Ellis test is often strongest when combined with retention and actual usage evidence rather than treated as a verdict on its own.

Take Action

Want to know your Sean Ellis score and what to do about it?

Our PMF Assessment includes the Sean Ellis test plus 5 other PMF dimensions.

Get your PMF score →