Product-Market Fit Survey Template

Before product-market fit, nothing else compounds; after it, everything does. The problem is knowing which side of the line you are on, and that is exactly what this survey measures. It is a faithful implementation of the Sean Ellis test: ask active users how they would feel if they could no longer use the product, and read the share who say "very disappointed". Above roughly 40 percent, you have pull. Below it, you have polishing to do — and the other questions tell you where.

Why this exact wording. "How would you feel if you could no longer use it" outperforms "do you like it" because it simulates loss instead of asking for praise. People are terrible at predicting enthusiasm and surprisingly accurate about loss aversion. The three fixed answer options are the instrument — resist the urge to add a fourth or soften the labels, because the 40 percent benchmark only means something against the standard scale.

What the supporting questions do. The would-use-instead question maps your real competitive set, which is rarely the companies in your pitch deck — often it is a spreadsheet, a group chat, or nothing. The main-benefit question harvests positioning language straight from users. The who-would-benefit question is quietly the sharpest ICP tool available: your very-disappointed users describe your future customers better than you can. Role turns all of it into segments, because fit is never uniform — it hides inside one segment first. The improvement question closes the loop for the users you have not yet won.

Sampling matters more than volume. Send this only to people who have genuinely experienced the product — a common bar is used it at least twice in the last two weeks. Surveying trial tourists deflates your score and buries the signal.

Who runs this. Founders ahead of a fundraise, because the very-disappointed percentage has become investor shorthand for traction quality; product managers checking whether a repositioning actually changed how users depend on the product; and growth teams deciding if spend will compound or leak — scaling acquisition before fit just buys churn faster. Agencies also run it for clients as the cheapest possible audit of whether a product is ready for a marketing engagement.

Make it yours. Replace "the product" with your product's name everywhere, tune the role options to your audience, and keep the survey to these six questions. In analysis, filter the CSV to very-disappointed respondents and read their benefit answers as a group — that cluster is your positioning. Set the form to close after a fixed number of responses for a clean measurement wave, and re-run the identical survey each quarter; the trend in your very-disappointed share is the single most honest progress metric an early product has.