Feature Adoption Rate
IntermediateFeature adoption rate is the share of users who have used a specific product feature; it shows how much a capability is actually used, not merely that it was built.
Feature adoption rate looks simple but three hidden choices change its whole interpretation. First the denominator: adoption relative to all users, to active users, or only to those actually exposed to the feature? The same numerator with three denominators tells three different stories. Second the threshold: does "used" mean tried once or used repeatedly? One-off adoption is often curiosity rather than value. Third time: adoption in the first week differs from durable adoption after a month. The big trap is celebrating high initial adoption while those same users never return after one try; so adoption rate is meaningful only when read beside the retention of that same feature. This metric is built from behaviour and, if the feature is properly instrumented, is fully computable from event data.
How it is calculated
Feature adoption rate = users who used the feature ÷ users in the chosen denominator × 100
The output is a percentage and the denominator must be explicit: all users, active users, or users exposed to the feature. To be meaningful it must be read beside the retention of that same feature, not on its own.