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Product-Market Fit (PMF) Survey & Analysis Engine

Designs a post-launch feedback campaign and survey using Sean Ellis's Product-Market Fit framework.

Use Case

Use this after launch when you want to measure if you have achieved PMF and understand how to iterate your product.
AI Prompt
Act as a product growth lead. We have launched our product [Insert Product Description] and have a small user base. I need to run a Product-Market Fit (PMF) survey using Sean Ellis's methodology. 1. Draft a 5-question survey, including the core PMF question (how disappointed would you be if you could no longer use this product?). 2. Provide a detailed workflow on how to segment the responses (e.g., separating high-value users from low-value users). 3. Provide a step-by-step playbook on what actions to take if our PMF score is below 40%, and what to do if it is above 40% to accelerate growth.

How to Use

  1. 1Insert your product description into the placeholder.
  2. 2Send the draft survey questions to users who have experienced the core value of your product.
  3. 3Apply the segmentation workflow and playbook to the survey results.

Example Output

Survey Questions: One. How would you feel if you could no longer use CarbonTrack? The choices are very disappointed, somewhat disappointed, not disappointed, or I no longer use it. Two. What is the primary benefit you get from using our tool? Three. What type of person do you think would benefit most from our tool? Four. How can we improve CarbonTrack for you? Five. What would you use as an alternative if our tool was no longer available? Segmentation Workflow: Filter out users who have not used the tool in the last two weeks. Group the remaining responses into cohorts based on how they answered the disappointment question. Focus all your feature analysis on the users who answered very disappointed, as these represent your core customer base. Playbook for Under Forty Percent: If your score is low, stop marketing and focus entirely on product development. Interview the somewhat disappointed cohort to find out what missing feature is keeping them from being very disappointed. Playbook for Over Forty Percent: If your score is high, you have achieved initial product market fit. Double down on acquisition. Take the exact words your very disappointed users used to describe the primary benefit, and use that copy in your landing pages and ad campaigns.