How Uber Standardized Mobile Analytics for Cross-Platform Insights
Article Summary
Uber was drowning in inconsistent analytics data. Over 40% of mobile events were ad-hoc custom logs, making cross-platform insights nearly impossible.
Uber's Mobile Data Platform team tackled fragmented event tracking across iOS and Android apps serving riders, drivers, and Eats users. They redesigned their analytics stack to move instrumentation logic from individual features into the platform layer.
Key Takeaways
- Standardized 3 core events (tap, impression, scroll) with strict emission rules
- Instrumented all 50 common UI components to auto-capture metadata
- Reduced inflated impression counts by 30% with accurate visibility tracking
- Cut instrumentation code from dozens of lines to just a few per event
- Sampled 0.1% of sessions to maintain visibility on disabled events
Critical Insight
By pushing event definitions and metadata into platform components, Uber achieved cross-platform data consistency while slashing engineering effort for feature teams.
