Product Market Fit Survey: How to Run the Sean Ellis Test in India
Run a product market fit survey: the Sean Ellis question, the 40% rule as a heuristic, who counts, sample-size limits and what to ask next, for Indian products.
In shortThe Sean Ellis test asks users how they would feel if they could no longer use the product: very disappointed, somewhat disappointed or not disappointed. If at least 40% of the right users say very disappointed, the product likely fits that segment. Treat 40% as a heuristic, not a law, and survey only active users. With 100 users a 40% score has a margin of about ±9.6 points. Hercules Works can survey category users, but not your own users.
Contents
A PMF Survey Asks Real Users, Not Prospects
Product market fit is the point at which a product satisfies a strong market demand. The Sean Ellis test turns that into one survey question that you can repeat. It works for products people already use, so it is for post-launch teams, not for idea validation. If you have no users yet, start with the startup validation guide.
The question wording, the three answer options and the 40% heuristic below come from one summary of the test (Umbrex). We did not check them against the original article. The sample-size maths is ours.
The Question, the Score and What It Means
Ask: "How would you feel if you could no longer use this product?" The three answers are very disappointed, somewhat disappointed and not disappointed. A fourth option, "I no longer use it", is common so that lapsed users can leave the base.
The score is the number of qualified respondents who say very disappointed divided by the total number of qualified respondents. The source states that if at least 40 percent of the right users choose that answer, the product likely has meaningful fit in that segment, and also calls the benchmark a heuristic, not a law.
Decide Who Counts Before You Field
Qualified respondents are people who have really used the product. Write the rule down first: used the core feature at least twice, active in the last 30 days, or similar. The rule is yours, not a standard. Changing it after you see the score is how teams fool themselves.
Then split the score by segment. A company-wide average can hide the group that loves the product. Ask role, city, plan and use case, and compare.
The Follow-Up Questions
| # | Question | Why |
|---|---|---|
| 1 | How would you feel if you could no longer use this product? | The score |
| 2 | What type of person do you think would most benefit from it? | Finds your best segment in their words |
| 3 | What is the main benefit you get from it? | Finds the value people actually feel |
| 4 | How could we improve it for you? | Gives the work list |
| 5 | What would you use as an alternative if it were gone? | Maps the real competitor |
Read questions 2 to 4 from the people who said very disappointed first. They tell you what to build more of.
How Many Users You Need
The margin of error for a share near 40%, in a simple random sample, is below. Small user bases give wide ranges.
| Qualified respondents | Margin around a 40% score |
|---|---|
| 50 | ±13.6 points |
| 100 | ±9.6 points |
| 400 | ±4.8 points |
With 50 users, a score of 40% could be anywhere from about 26% to 54%. Treat early scores as directional and repeat the test as users grow. Look at the trend and the segment cuts, not one number.
Where a Panel Fits and Where It Does Not
The test needs your own active users, so it must be sent through your product or email. A consumer panel does not hold your users. A panel is useful before this stage: a concept test for demand, a pricing study, or a survey of competitor users to find the segment to target. Stated intent from a panel is not the same as the disappointment of someone who already relies on the product.
Running This Study on Hercules
If your job is to test demand among category users before or around launch in India, this is the study at list price. The Sean Ellis question itself must go to your own users.
| Step | Plan | Responses | Price per response | Cost |
|---|---|---|---|---|
| Test the questionnaire | Free | 30 | ₹0 | ₹0 |
| Small pilot | Plus | 100 | ₹150 | ₹15,000 |
| Main study | Pro | 400 | ₹120 | ₹48,000 |
Pro is sold in bundles of 400 to 1,000 responses and costs 20% less per response than Plus. Enterprise plans come with a dedicated research team and are priced on request.
The SuperJ network has a 25M+ consumer footprint. The survey-eligible panel is a subset, and availability depends on your targeting. Members complete Aadhaar-based KYC once, and each study receives a zero-knowledge proof of verification. Surveys run in as many Indian languages as the study needs. Quality checks flag speeders, straight-lining and inconsistent answers. Read /panel-methodology and pricing.
The limit: the app reaches smartphone users only, so offline households need face-to-face fieldwork.
Frequently asked questions
What is the Sean Ellis test?
A one-question survey: how would you feel if you could no longer use this product, with answers very disappointed, somewhat disappointed and not disappointed. The share saying very disappointed is the score.
What is a good product market fit score?
One summary of the test states that 40% very disappointed among the right users suggests fit, and calls this a heuristic. Treat it as one signal, split by segment, and repeat it over time.
How many users do I need to run a PMF survey?
More is better. With 100 qualified users a 40% score has a margin of about ±9.6 points, and with 400 about ±4.8 points.
Can I run a PMF survey before I have users?
No. The test asks users who rely on the product. Before launch, test demand with a concept test or an idea-validation survey.
Can I use a survey panel for product market fit?
Not for the Sean Ellis question, because a panel does not hold your users. Use a panel for demand and segment research around it.
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