How we went from messy analytics to 30 clean events everyone actually uses
Original: The UX of Event Architecture — An Amplitude Reintegration Story
Summary
Moss Pauly shares how his team reduced analytics friction by cleaning up a bloated schema.
Who This Is For
Analytics Engineers
Product Analysts
Product Managers
Key Takeaways
- Reduce event bloat by optimizing for user experience over individual event perfection - Zip went from hundreds to under 30 core events
- Implement event routing through a data warehouse (like Snowflake) before sending to analytics tools for better validation and control
- Frame event taxonomy as an optimization problem: maximize valuable coverage and intuitiveness while minimizing unique events
- Focus on universally understood event names that don't require tribal knowledge or domain expertise to interpret
- Consider intuitiveness at the project level, not just individual events - thousands of granular events create more problems than they solve
Tools & Technologies
Amplitude Snowplow Snowflake
Topics Covered
amplitude event-architecture analytics-ux data-cleanup
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