Designing Event Data for Product Analytics
Design event contracts that keep product metrics interpretable as identifiers, client clocks, delivery retries, and application versions change.
Design event contracts that keep product metrics interpretable as identifiers, client clocks, delivery retries, and application versions change.
Set the elapsed-time limit for a funnel, define entry and boundary rules, and avoid treating unfinished observation windows as failed conversions.
Commit a business change with an outbox record, relay the event afterward, and handle duplicate deliveries without assuming an atomic broker send.
Distinguish backward and forward compatibility, test supported readers and writers, and keep structural changes separate from changes in meaning.
Link observations across identifiers with explicit evidence and time scope, handle shared devices, and distinguish accounts from individual people.
Recognize repeated deliveries with stable event IDs, detect conflicting payloads, and keep delivery deduplication separate from business uniqueness.
Separate shared event metadata from business properties, define identifier and timestamp scopes, and distinguish supplied fields from trusted evidence.
Define event triggers, properties, units, owners, and consumers in a tracking plan, then test whether deployed instrumentation follows it.