Building Scalable Product Analytics: A Framework for Custom Event Taxonomy & Governance
Visit LinkThis framework balances two pillars: how to structure events (verb-noun naming, hierarchies, required properties) and how to govern them (ownership, versioning, validation). It's a great blueprint for teams dealing with scale and event sprawl.
More in Event Taxonomy
How Data Governance Can Help Collect Good Event Data
João Lousada outlines how a data governance strategy prevents analytics drift. He emphasizes the role of casing rules, ownership tags, and source-of-truth documentation in keeping instrumentation aligned with product changes. Great for teams scaling analytics without chaos.
The UX of Event Architecture — An Amplitude Reintegration Story
In this Amplitude reintegration story, Moss Pauly shows how reducing events to a <30 schema improved usability for analysts. Events were refactored to prioritize clarity and team ownership, with event routing and validation set up before hitting Amplitude.
More Than 30 Unique Tracking Events Will Cause You Problems
Based on product audits, this post explains how exceeding 30 core events leads to confusion, duplicative metrics, and inflated tooling costs. Timo recommends modeling a small set of core entities and using properties to capture UI-specifics. Includes governance tips.