As a product team we want to store user data and routing choices, so that we can improve recommendations and understand behavior patterns
Acceptance Criteria:
- System stores (with consent):
- Preference settings
- Route search history
- Selected routes vs alternatives shown
- Preference modifications over time
- Data is anonymized for analytics
- Users can view collected data (transparency)
- Users can opt-in/opt-out of data collection
- Data improves: recommendations, AI learning, feature development
Privacy & Compliance:
- GDPR compliance required
- Clear data retention policies
- User data export/deletion on request
- Anonymized aggregated analytics only
Implementation Notes:
- Essential for ML improvements
- Show users "insights powered by community data"
- Balance collection needs with privacy
The main point here is that when we have a huge amount of repetitive actions from the user, the AI can make some assumptions about the users preferences.
As a product team we want to store user data and routing choices, so that we can improve recommendations and understand behavior patterns
Acceptance Criteria:
Privacy & Compliance:
Implementation Notes:
The main point here is that when we have a huge amount of repetitive actions from the user, the AI can make some assumptions about the users preferences.