measuring-product-market-fit

To measure product-market fit using the Sean Ellis survey, you ask users how they would feel if they could no longer use your product. Reaching a threshold of 40% responding "very disappointed" indicates strong PMF signals.

Analyzing retention curves for product-market fit involves tracking customer cohorts over time to see if usage stabilizes at a steady plateau rather than declining to zero. A flattening retention curve validates that your product delivers ongoing value.

Deciding whether to scale or iterate based on product-market fit results requires evaluating customer cohorts and reference metrics. If PMF signals are strong across validated segments, you scale; otherwise, you continue iterating on the product.

You can validate product-market fit across different customer segmentation cohorts by applying the Sean Ellis survey and analyzing retention curves per segment. This identifies specific reference customers within segments that show strong PMF signals.

You need to validate product-market fit with reference customers when determining whether to transition from early-stage iteration to later-stage scaling. Validating references confirms that specific segments genuinely rely on your product.

A lack of product-market fit during early stages is indicated by poor Sean Ellis survey results, declining retention curves across cohorts, and an inability to identify reference customers. These signals suggest you must continue iterating before scaling.