Business
Generador de Product-Market Fit
Used by developers, writers, and creators worldwide.
A product-market fit generator builds a structured assessment for judging whether your product has real traction, centred on the Sean Ellis test. Enter your product and it returns the canonical survey question — how users would feel if they could no longer use it — with the 40% "very disappointed" benchmark, plus prompts to identify your most disappointed segment, the benefit they cite, your retention curve shape, organic growth signals, and a verdict. Founders use it to move past gut feeling and assess fit with evidence before pouring money into scaling. Product-market fit is felt as pull rather than push: when you have it, you struggle to keep up with demand and retention flattens into a plateau instead of decaying. Everything generates instantly in your browser. Run the survey with real users, study who answers "very disappointed," and use that segment to sharpen the product before chasing growth.
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How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Enter your product.
- Click Generate to produce the assessment.
- Run the survey with real, active users.
- Study the "very disappointed" segment and iterate.
Use Cases
- •Assessing product-market fit with evidence, not gut feel
- •Running the Sean Ellis 40% PMF survey
- •Identifying the segment that loves the product most
- •Reading a retention curve for signs of fit
- •Deciding whether it is time to scale or keep iterating
Tips
- →Aim for the 40% "very disappointed" benchmark.
- →Double down on the segment that loves it most.
- →Look for a flattening retention curve, not just growth.
- →Treat real pull, not push, as the sign of fit.
FAQ
what is the Sean Ellis test
You ask users how they would feel if they could no longer use your product. If at least 40% say "very disappointed," that strongly signals product-market fit. Below that, focus on the loyal segment and the benefit they cite to improve fit.
how does the retention curve indicate fit
Plot the share of users still active over time. With fit, the curve flattens into a stable plateau — a core group keeps coming back. Without fit, it decays toward zero. A flattening curve is one of the clearest fit signals.
why focus on the very disappointed users
They are your true market. Studying who they are and what benefit they would miss most tells you who to serve and how to sharpen the product. Widening from that loyal core beats trying to please everyone at once.
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