Each answer's share, round after round
See the share of very, somewhat and not disappointed, with the change in points against the period before and the shares over time week by week.
Product-market fit survey
Find out how much users would miss your product
Ask active users how they would feel if they could no longer use your product, in your app, by email or by link. Usertick shows the share of each answer and what the very disappointed users value most.
The question that measures product-market fit
The product-market fit survey asks one question: how would you feel if you could no longer use this product? The share of users who answer "very disappointed" is a widely used signal of fit, and the follow-up answers explain who those users are and what they get from the product.
Usertick ships the survey as a ready template, with the four answers, follow-ups on the main benefit and the alternative, and a rule that ends the survey for people who no longer use the product. Ask it in your app, by email or with a link, to the users who have used the product enough to judge.
Results shows the share of each answer and its change since the last round, and one click filters the whole page to the very disappointed users, with their benefits and alternatives read by AI. That is where the positioning and the roadmap come from.
- Plans
- The template, Results and AI reading on every plan, the free plan included
- Where
- In your app, in an email, or on a survey page you share
- Who
- Returning visitors on every plan, active users by trait from Starter
- Dashboard
- A ready product-market fit dashboard to start from
Ask the users who can judge
The answer means something only from people who have used the product.
Active users in your app
Pass a trait such as active days in the last two weeks with Usertick.identify(), and show the survey only to people above the number you set. Starter and above.
An email to your active customers
Send the survey to a list of active customers, with the question inside the message. One tap picks the answer and opens the follow-up questions.
A link in your community or newsletter
Share the survey page in a community, a Slack group or a newsletter, with a tag on each link so you know which group answered.
Every quarter, on the same rule
Bring the survey back after a set number of days, such as 90, so each round compares with the last one.
Read the share, and what is behind it
Results shows the answers as shares, with the change since the last round.
The share for each kind of user
Add a question about role or company size, and filter the whole page by its answer, or by country and device, to see where fit is strongest.
Learn from the very disappointed
Select "very disappointed", and the page filters to those users: the main benefit they name, what they would use instead and who they think the product is for, each read by AI and grouped into themes. The somewhat disappointed answers show what would move more users up.
Turn the answers into decisions
Share what you learn with the team that builds and sells the product.
Benefits in a Slack channel
Post every very disappointed user's main benefit to a channel, so product and marketing read them as they arrive. Every plan.
The answer on the customer's record
Write each answer to the HubSpot contact, so sales and success know who loves the product and why. Every plan.
A product-market fit dashboard
Start from the dashboard template with the share, the benefits that repeat, who benefits most and answers per week, and share it with the team.
A report after every round
Send the results to email, Slack or Microsoft Teams on a schedule, with the headline numbers and a PDF. Pro and above.
How to run a product-market fit survey with Usertick
Four steps from the template to your first share.
- 1
Start from the template
Pick the Product-market fit template. It asks the disappointment question, then the benefit, the alternative and who benefits most.
- 2
Choose who answers
Target active users by a trait your app passes, or send it to a list of customers who use the product every week.
- 3
Choose where
Open it in your app, send it by email, or share its link, and bring it back every quarter to compare rounds.
- 4
Read the very disappointed
Publish, read the share in Results, and select "very disappointed" to see what those users value.
How to get a product-market fit signal you can trust
Six habits that keep the share honest.
- 01
Ask people who have used it
Leave out new sign-ups and people who stopped using the product, who can't say how they would miss it.
- 02
Wait for enough answers
A share on 40 answers moves a lot by chance. Check the margin of error before you read too much into one round.
- 03
Keep the wording the same
Use the same question and answers every round, so each share compares with the last.
- 04
Decide what to do with N/A
People who no longer use the product end the survey early. Decide whether to count them before you compare rounds.
- 05
Read the benefits as well as the share
The words of the very disappointed users are the reason to run the survey. They tell you what to protect and who to sell to.
- 06
Ask again after big changes
Run a new round after a launch or a new pricing plan, and compare it with the last one.
Templates and questions for product-market fit
Start from a template written for fit, usage and positioning, and change any question.
Templates
Browse all templatesResearchProduct-market fitTrack product-market fit with the Sean Ellis question: the share of users who would be very disappointed without you. Send it to people who used the product at least twice in the last two weeks.
ProductProduct experience surveyA complete check on how customers use and rate your product: how long and how often, satisfaction, ease of use, what they would miss and what to build next. Send it to active users once or twice a year.
ResearchUsage habitsLearn how often people use your product, where they spend their time and the job they rely on it for. Send it to active users once or twice a year.
ResearchProblem validationFind out how often people face a problem, how they solve it today and what they would pay to solve it better, before you build anything. Send it to people in your target market and replace the example problem with your own.
Questions from the library
Browse the question library- How would you feel if you could no longer use this product?Multiple choice · Product
- What is the main benefit you get from the product?Text · Product
- Who else on your team would benefit from this?Text · Product
- What were you using before you found us?Text · Product
- What did this replace for you?Text · Usage and habits
- How much better is this than what you had before?Big scale · Switching and alternatives
- How often do you use the product?Dropdown · Product
- What best describes your role?Dropdown · Profile
Frequently asked questions
A product-market fit survey asks users how they would feel if they could no longer use a product: very disappointed, somewhat disappointed or not disappointed. The share who answer very disappointed is a common signal of fit, and the follow-up questions explain why.
A common rule of thumb is 40% or more, drawn from surveys of many startups. Treat it as a guide: your own share over time, and how it differs between kinds of users, tells you more than any single line.
Users who have used the product enough to judge it, such as people who used it at least twice in the last two weeks. From Starter, pass a trait such as active days with Usertick.identify() and target the survey to it.
Results draws the question as a donut with each answer's share and count, the change in points against the period before, and the shares over time. Selecting "very disappointed" filters the whole page to those users.
Usertick shows the share of each answer, very disappointed included, and its change since the period before. It doesn't draw a pass or fail line, and people who answered N/A stay in the count unless you leave that option out of the question.
The more the better, since a share on a few dozen answers moves a lot by chance. Use the margin of error calculator to see how certain a share is for your number of answers.
Every few months, and after big changes such as a launch or new pricing. On a website, the repeat rule can bring the survey back to each user after the number of days you choose, such as 90.
Yes. Add a question about role, company size or use case, and filter Results by its answer. Country, device and page filters work too.
Yes. The template, Results and AI reading come with every plan, the free plan included. Note that the free plan keeps 30 days of responses, so comparing quarterly rounds needs Starter or above, which keeps a year.
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