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Product Market Fit (Superhuman)

Why is it useful?

This survey helps SaaS companies measure how crucial their product is to users by assessing how disappointed they would be if it disappeared. It provides clear indicators of product-market fit and guides future improvements to retain and grow the user base.

How to get started:

Once you have setup the Formbricks Widget, you have two ways to pre-segment your user base: Based on events and based on attributes. Soon, you will also be able to import cohorts from PostHog with just a few clicks.

Step-by-step manual

What is the Product Market Fit (Superhuman) template mostly used for?

The Product Market Fit (Superhuman) survey is designed to evaluate how essential a product is to its users by measuring the level of disappointment they would feel if the product was no longer available. This insight is valuable for SaaS companies looking to gauge their product-market fit and identify key areas for improvement.

The survey begins by acknowledging the user as a "power user" and asking for five minutes of their time, setting a positive tone for feedback collection. It then asks a critical question: "How disappointed would you be if you could no longer use Example Product?" with options ranging from "Not at all disappointed" to "Very disappointed." This helps businesses quickly assess the importance of their product to users.

Further, the survey gathers additional information, such as the user’s role (Founder, Product Manager, etc.), which can be useful for segmenting the responses based on the user's position within a company. This allows businesses to understand how different roles perceive the product and its impact.

Finally, the survey delves into open-text questions to understand the product’s main benefit, which type of users would benefit most, and specific suggestions for improvement. These insights provide a comprehensive view of user experience and opportunities for enhancing the product's value proposition, helping businesses adapt their strategy to meet user needs more effectively.

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