Q01
Message
All templatesMarket Research
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 · ~9 min
Q02
Multiple Choice
In the past 30 days, how often did you use this product?
- Daily
- Several times a week
- Weekly
- Less than weekly
Q03
Multiple Choice
How would you feel if you could no longer use this product?
- Very disappointed
- Somewhat disappointed
- Not disappointed
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
Dropdown
Which of the following best describes your role?
- Executive / C-level
- VP / Director
- Manager
- Individual contributor
- Freelancer / Consultant
- Founder / Owner
- Other (please specify)
Q07
Message
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
Dropdown
How long have you been using this product?
- Less than 1 week
- 1–4 weeks
- 1–3 months
- 3–6 months
- 6–12 months
- 1–2 years
- More than 2 years
Q09
Opinion Scale
How well does this product address your primary need today?
Scale: 1 – 7
Min:Does not address it at allMax:Completely addresses it
Q10
Multiple Choice
If this product were no longer available, what would you most likely do instead?
- Use a competing product
- Use a manual workaround or spreadsheets
- Build my own solution or script
- Outsource or hire someone
- Go without a solution
- I'm not sure
- Other (please specify)
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
Dropdown
How many people use this product with you?
- Just me
- 2–5
- 6–10
- 11–25
- 26–50
- 51–100
- 101–250
- 251+
Q13
Multiple Choice
What is the primary thing you use this product for?
- Tracking work or tasks
- Communicating with others
- Analyzing data or insights
- Creating content or assets
- Automating workflows or integrations
- Learning or training
- Other (please specify)
Q14
Opinion Scale
How likely are you to recommend this product to someone in a similar role?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q15
Long Text
In your opinion, who benefits most from this product? (e.g., a specific role, team, or situation)
Q16
Dropdown
How many employees work at your company?
- 1
- 2–10
- 11–50
- 51–200
- 201–500
- 501–1,000
- 1,001–5,000
- 5,001+
Q17
Long Text
What is the one thing we could improve to make this product indispensable for you?
Q18
Dropdown
Which industry best describes your company?
- Software / Technology
- Professional services
- Education
- Healthcare
- Financial services
- Retail / eCommerce
- Manufacturing
- Nonprofit
- Government
- Media / Entertainment
- Other (please specify)
Q19
Dropdown
In which country or region are you based?
- United States
- Canada
- United Kingdom
- European Union
- India
- Australia / New Zealand
- Latin America
- Middle East / Africa
- Southeast Asia
- East Asia
- Other
- Prefer not to say
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.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Uses the classic Sean Ellis 'very disappointed' question alongside usage frequency, tenure, and primary use-case questions to establish a clean PMF baseline
- Adds an AI follow-up interview that adaptively probes open-ended answers (like the biggest benefit and improvement suggestions) instead of leaving them as static unexamined text
- Captures competitive-alternative behavior ('what would you do instead') plus firmographic and role-based segmentation (company size, industry, region) for slicing PMF signal by segment
- Closes with automated report generation and transparent, reviewable AI prompts, so teams can see exactly how follow-up questions were generated
SurveySparrow
Product-Market Fit Survey TemplateA fielding-ready PMF survey template built around the standard Sean Ellis question set. It's oriented toward SurveySparrow's own conversational form format and distribution tools rather than deep qualitative follow-up. Good as a straightforward, no-frills PMF questionnaire.
What it does well
- Ready-to-use PMF template with the core Sean Ellis question included
- Conversational form format that may improve completion rates
- Part of a broader survey/CX platform with distribution and reporting tools
Where it falls short
- No adaptive AI interviewing to probe open-ended answers in more depth
- No option for voice-based interviews or screen-share guided tasks
- No published methodology for how responses are scored or synthesized into reports
Typeform
Product-Market Fit (PMF) Survey TemplateA polished, conversational PMF template covering the Sean Ellis question and related usage items, in Typeform's signature one-question-at-a-time style. It's a static template — well-designed for form completion but not built to dynamically dig into individual respondent answers.
What it does well
- Clean, well-tested conversational UI known for strong completion rates
- Established PMF question flow based on the Sean Ellis framework
- Easy integration with Typeform's broader form ecosystem and logic jumps
Where it falls short
- Static question flow with no adaptive AI follow-up interview or voice interview option
- No automated per-response quality scoring
- No guided screen-share tasks for deeper behavioral observation
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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