measuring-product-market-fit

Measure product-market fit by triangulating Sean Ellis survey data, behavioral retention analytics, and customer advocacy signals. This approach assesses PMF across defined segments to diagnose current status, identify value drivers, and detect potential PMF drift for B2B SaaS products.

The Sean Ellis survey method is a customer feedback technique used to determine if a product is a must-have. It is triangulated with behavioral retention data and customer advocacy signals to diagnose PMF status across defined segments.

Product-market fit erodes due to PMF drift, which occurs when value drivers shift within segments. Diagnosing this drift requires triangulating behavioral retention analytics, Sean Ellis survey data, and customer advocacy signals to identify the root causes.

Create a PMF action plan by generating a PMF Measurement Pack that includes a scorecard, diagnosis by segment, and prioritized actions. This pack also defines a re-measurement cadence to continuously track PMF drift over time.

Yes, behavioral retention data is used to diagnose PMF drift. It is triangulated with Sean Ellis survey results and customer advocacy signals to assess PMF status across segments and identify drivers of value.

Track product-market fit before scaling acquisition by measuring PMF across a target segment using Sean Ellis survey data, behavioral retention analytics, and customer advocacy signals. Generate a scorecard to ensure the product is a must-have before investing.