User Behavior Tracking
Tracking and analyzing user behavior in mobile apps is crucial for improving user experience and optimizing application performance.
Quick Decision
| Need | Track | Watch Out |
|---|---|---|
| Funnel analysis | Screen/action event | Event names must be stable |
| Retention | Session and cohort | Consent may be required |
| UX issues | Drop-off and rage tap | Do not record PII |
| Debugging | Correlation ID | Do not mix with user identity |
Production Checklist
- Problem: Which product decision will behavior data support?
- Solution: Are event taxonomy, consent, sampling, retention, and owner clear?
- Trade-off: Behavior data gives product insight; it adds privacy and cost responsibility.
- Failure mode: Event drift, duplicate events, PII leaks, and metric mismatch should be handled.
- Measurement: Track event volume, missing event rate, funnel conversion, retention, and opt-out rate.
- Security/cost: Collect minimum data; user behavior data should be treated as sensitive.
Key Metrics
User Interactions
- Screen view durations
- Button clicks
- Scroll behaviors
- Form completion times
Performance Metrics
- Page load times
- API response times
- App crash rates
- Memory usage
Tracking Tools
- Firebase Analytics
- Google Analytics
- Custom Event Tracking
- Heat Maps
- Session Recording
Data Collection Principles
- Respect user privacy
- GDPR and CCPA compliance
- Collect minimum necessary data
- Transparent data usage policies
Analysis and Reporting
- User segmentation
- Behavior flows
- Conversion rates
- User satisfaction metrics