Feature-to-feature Flow

Feature-to-feature flow is an analysis that tracks movement between product features rather than pages, to reveal which feature users typically use after another.

This lens is specific to application products, where a “page” is not necessarily a feature and the whole task may happen on one screen, so pageview-based path analysis is blind here and it must be built on feature events. Its value is discovering the natural chains of use: if users almost always go to feature B after feature A, the two should sit together in the UI or be introduced back-to-back in onboarding. The main trap is mistaking co-occurrence for causation; two features used in sequence does not mean one led the user to the other — both may be the outcome of one shared need. The precondition is precise event-based data: without clean event naming, feature-to-feature flow collapses into ambiguous noise.