Product-Market Fit Survey Questions
25 PMF Survey Questions to Measure Product-Market Fit
Know if you have fit - before your runway runs out
Product-market fit surveys tell you whether your product has found its market. Use the Sean Ellis method, the Superhuman method, or a combined approach. These PMF survey questions help you measure, benchmark, and act.
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When to send
Run PMF surveys after users have had enough time to experience your core value - typically after 2–4 weeks of use, or after they have completed onboarding and used the product at least 2–3 times.
22 PMF survey questions
Organized by purpose - use the ones that fit your goal, or use them all.
Sean Ellis PMF question
How would you feel if you could no longer use [Product]?
Single Choice
- • Very disappointed
- • Somewhat disappointed
- • Not disappointed (it is not that useful)
Superhuman PMF questions
What type of people do you think would benefit most from [Product]?
Open Text
What is the main benefit you get from [Product]?
Open Text
How can we improve [Product] for people like you?
Open Text
Core value understanding
What problem does [Product] solve for you?
Open Text
What would you use instead if [Product] did not exist?
Open Text
What is the one thing [Product] does better than anything else?
Open Text
How often do you use [Product]?
Single Choice
- • Multiple times a day
- • Daily
- • A few times a week
- • Weekly
- • Less often
ICP qualification
What best describes your role?
Single Choice
- • Founder / CEO
- • Product Manager
- • Engineer
- • Designer
- • Marketing
- • Customer Success
- • Other
What is the size of your company?
Single Choice
- • Solo / freelancer
- • 2–10
- • 11–50
- • 51–200
- • 201–1000
- • 1000+
What industry are you in?
Open Text
How did you first hear about [Product]?
Single Choice
- • Google search
- • Social media
- • Word of mouth
- • Newsletter
- • Review site
- • Other
Engagement and stickiness
Have you recommended [Product] to anyone?
Single Choice
- • Yes, multiple people
- • Yes, one person
- • Not yet but I plan to
- • No
Do you use [Product] as part of your regular workflow?
Single Choice
- • Yes, it is core to my workflow
- • Sometimes
- • Rarely
- • Not yet
How quickly did you get value from [Product] after signing up?
Single Choice
- • Same day
- • Within a week
- • Within a month
- • Still getting there
Feature and gap analysis
What feature do you use most? What is your favorite?
Open Text
What features are missing that would make [Product] a must-have for you?
Open Text
Is there anything about [Product] that frustrates you or slows you down?
Open Text
What would make you upgrade to a paid plan (or a higher tier)?
Open Text
Willingness to pay
Are you currently paying for [Product]?
Single Choice
- • Yes
- • No - on free plan
- • No - on trial
How much would you expect to pay for [Product] per month?
Single Choice
- • $0 - should be free
- • $1–$25
- • $25–$50
- • $50–$100
- • $100–$200
- • $200+
Would you pay more to keep using [Product] if the free plan went away?
Single Choice
- • Yes, definitely
- • Yes, probably
- • I am not sure
- • Probably not
- • No
Tips for running PMF surveys
The Sean Ellis benchmark: if 40%+ of users say "very disappointed," you likely have PMF.
Segment responses by ICP - "very disappointed" scores from non-ICP users distort the signal.
Use open-text responses from "very disappointed" users to find your positioning and messaging.
Run PMF surveys after users have experienced core value - not on day 1.
Revisit PMF after every major product change to see if fit is improving.
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Frequently asked questions
What is a PMF survey?
A Product-Market Fit survey measures how essential your product is to users. The Sean Ellis method uses one question: "How would you feel if you could no longer use [Product]?" with 40%+ saying "very disappointed" as the benchmark for PMF.
What is the Sean Ellis PMF threshold?
Sean Ellis found that products with strong PMF had at least 40% of users say they would be "very disappointed" if they could no longer use the product. Below 40% suggests you may not have fit yet.
What is the Superhuman PMF method?
The Superhuman method adds three questions: who benefits most, the main benefit, and how to improve. These open-text responses help you understand your ICP and what to build next - not just whether you have fit.
When should I run a PMF survey?
Run it after users have experienced core value - typically 2–4 weeks in, or after 2–3 active sessions. Day-1 responses are not reliable because users have not had time to assess fit.
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