The disappointment question that product-market fit is usually measured by, with the reasons behind it. People who have stopped are asked why instead of the benefit, and an email is asked for only from those happy to talk. On Pro, fans who name a clear benefit are asked whether you may quote them.
Startup founders and product teams checking whether the product has found its market, or which group of users it has found it with.
Send it to people who have used the product at least twice in the last couple of weeks.
Every question in this template
The pages as a respondent meets them. Pick any question to open it in the live preview above.
- Page 1Questions7 questions
- Page 2About you5 questions
- ThenThank you
This shapes what we build next. We read every answer.
Conditional logic is already set up
Every answer, in one place
Each response lands in your inbox as a card like this one, with an email to you if you want it. People who stop part-way are kept too, with the answers they gave.
- Partial answers and drop-off by question, on every plan
- CSV, JSON and PDF on every plan, Excel on Pro
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Maya OkaforProduct-Market fit survey · just nowNew- How would you feel if you could no longer use the product?
- Very disappointed
- What made you stop using it?
- Their answer, in their own words
- What is the main benefit you get from it?
- Their answer, in their own words
- What kind of person would get the most out of it?
- Their answer, in their own words
- What would you use instead if it were gone?
- Another product
- Which product?
- Their answer, in their own words
and 6 more answers
Three steps, a couple of minutes
- Use this template1Make it your own copyIt becomes a draft in your account. Nothing you change touches the original.
- Reword, reorder, re-theme2Change anythingQuestions, pages, logic, theme and logo. It is an ordinary form from here on.
- formkit.app/you/product-market-fit-survey3Publish and shareYour own link, a QR code or an embed. Every answer lands in one inbox.
What this form can also do
Questions about this template
How do I read the result?
Analytics show what share answered "Very disappointed". A common rule of thumb is that 40% or more suggests you have found a fit; filter by role and frequency to see who drives it.
Can AI sum up the answers?
On Pro, AI insights read every benefit and improvement for themes and sentiment, and write a report across responses.