Product-market fit has clear measurement thresholds

The Sean Ellis score measures product-market fit by asking users how disappointed they'd be if the product no longer existed.

We rarely scale a project until we know the Sean Ellis score hit a threshold that we find really compelling.

The Sean Ellis score measures product-market fit by asking customers "How disappointed would you be if this product went away?" with 40% saying "very disappointed" indicating fit.

If at least 40% of your customers are not very disappointed, you haven't reached product market fit. We've generally moved it up to 50% because Brazilians are inherently polite.

For B2B, I want six to eight references, for B2C, I want maybe 15 to 25 references as an indication that we've achieved product market fit.

Context: Mike is discussing the challenge of measuring AI assistant success when traditional engagement metrics don't apply - "it" refers to whether the product is truly serving users well.

I think so much of when you get really metrics obsessed is when you're trying to convince yourself that it is when it's not.