Q01
Long Text
All templates
Product-Market Fit Assessment (Sean Ellis Method)
Measures product-market fit among active users using the Sean Ellis 'very disappointed' framework, supplemented by usage patterns, competitive alternatives, and qualitative feedback to identify fit signals and improvement priorities.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
19 questions · ~4 min
Q02
Multiple Choice
In the past 30 days, how often did you use this product?
Q03
Multiple Choice
How would you feel if you could no longer use this product?
Q04
Long Text
What is the single biggest benefit you get from this product?
Q05
Long Text
Based on your responses in this survey, is there anything else you'd like to share about your experience with this product?
Q06
Long Text
Which of the following best describes your role?
Q07
Long Text
Thank you for your time — your responses have been recorded and will help us improve the product. If you have any questions, please contact [support email].
Q08
Long Text
How long have you been using this product?
Q09
Long Text
How well does this product address your primary need today?
Q10
Multiple Choice
If this product were no longer available, what would you most likely do instead?
Q11
AI Interview
We'd like to explore a few of your responses in more depth. An AI moderator will ask you 1–2 brief follow-up questions.
Q12
Long Text
How many people use this product with you?
Q13
Multiple Choice
What is the primary thing you use this product for?
Q14
Long Text
How likely are you to recommend this product to someone in a similar role?
Q15
Long Text
In your opinion, who benefits most from this product? (e.g., a specific role, team, or situation)
Q16
Long Text
How many employees work at your company?
Q17
Long Text
What is the one thing we could improve to make this product indispensable for you?
Q18
Long Text
Which industry best describes your company?
Q19
Long Text
In which country or region are you based?
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.