Session segmentation
Session segmentation is filtering and grouping recorded sessions by properties such as page, device, user cohort, presence of errors or frustration signals, funnel stage reached, or custom events. It is what turns a recording archive from an unwatchable pile into an answerable database.
How it works
Segmentation needs indexes built from the event stream at ingest or afterward: URLs from meta events, interaction targets, error markers, frustration scores, durations, and any custom event tags. Queries then compose: mobile sessions, on the pricing page, with a rage click, that never reached signup. The quality of segmentation determines the practical value of everything downstream, because both human review and AI analysis operate on segments; asking a model to summarize "sessions that abandoned step 3" presupposes that segment can be produced. Storage design follows the same logic, since hot segments justify faster, costlier storage.
Where you encounter it
Every serious replay workflow, and as the retrieval layer under AI session analysis.