Measuring Repeated Successful Use as a Habituation Signal
Users who return repeatedly to a feature are the ones who've truly adopted it.
Users who return repeatedly to a feature are the ones who've truly adopted it.
Distinguishing whole-product activation from feature adoption prevents optimizing the wrong metric.
Four measurement decisions transform adoption from a vanity metric into an actionable signal.
Correctly defining your eligible denominator prevents misreading gated feature adoption rates.
Measure time-to-value at the feature level, not the product level.
Adoption metrics reveal whether users found value; vanity metrics just show they showed up.
Finding specific product behaviors that predict retention beats onboarding checklists.
Adoption metrics need proper definitions to measure value, not just activity.
Regulators treat event data as personal data the moment it identifies a person.
Answer the right questions about user value before designing events.
How to change event schemas without breaking the systems depending on them.
Client-side tracking misses blocked users; server-side alone misses browser behavior.