Product-market fit survey template
Usage metrics tell you how often customers use a product, but offer little information on what your product means to them. Collect attachment scores, substitute preferences, and core value ratings from active users.
High engagement metrics don't tell product teams whether customers would genuinely miss the product if it disappeared. A user who logs in out of habit looks identical to one who genuinely depends on the product. The core question that separates these two users is whether losing the product would be categorized as “very disappointing” or “barely noticed.”
Typeform’s product market fit survey gives product teams a direct way to measure how indispensable your product is to its core users. It collects disappointment scores (how disappointed users would be if the product disappeared), substitute preferences, primary use cases, and user segment data in one submission. Conditional logic branches follow-up questions based on each user's disappointment rating. A user who answers that they would not be disappointed if the product disappeared, gets routed to questions about what the product is missing to achieve must-have status for users like them.
Product teams who run this survey regularly develop a sharper picture of which user segments their product genuinely serves and which user segments it's merely attracting. The responses also reveal which alternatives users would switch to, giving teams a direct view of their most relevant competition. Each survey cycle reveals data that ties product decisions to whether the product is solving a real, irreplaceable need.
A product market fit survey helps product teams measure how essential the product is to its most active users. It collects disappointment scores (how disappointed users would be if the product disappeared), primary use cases, user segments, and substitute preferences to identify whether the product has crossed the threshold of genuine market need. Use this product market fit survey to help your team understand whether you're building something customers would truly miss.
Scaling a product before it has genuine market fit accelerates customer acquisition costs before retention is predictable. Disappointment data makes a stronger case for scaling decisions than engagement metrics alone. A product market fit survey gives your team a clear, data-backed answer to the question every growth decision depends on.
Cover what reveals genuine product dependency:
- Disappointment score if the product became unavailable: very disappointed, somewhat disappointed, or not disappointed
- Primary use case or job the product helps the user accomplish
- What the user would switch to if the product disappeared
- Which user segment or role the respondent represents
- What the product would need to do better to be indispensable
Target users who have been active within the last two weeks. Avoid sending the survey to churned users, trial users who never converted, or users who signed up but rarely engage. The goal is to measure product fit among your best users, not your entire registered base.
The industry benchmark for strong product market fit is 40%, meaning that at least 40% of respondents should say they'd be very disappointed if the product disappeared. For products below that threshold, filter responses to find which user segments have the highest concentration of “very disappointed” answers. Focus product development on attracting and retaining that user profile, where genuine fit already exists.
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