User Profile¶
1. Why It Exists¶
Problem it solves: Users need a centralized place to manage their entertainment preferences, view their history, and control their Beet experience. Without profiles, the platform can't deliver personalized recommendations or track user achievements.
Value proposition: Complete entertainment profile that learns user preferences, tracks spending and rewards, showcases achievements, and enables social features for sharing experiences with friends.
Strategic importance: Profiles drive engagement through personalization and gamification. They're essential for recommendation algorithms, social features, and understanding user behavior patterns.
2. Scope¶
MVP (Current Phase)¶
- Basic profile information (name, location, preferences)
- Entertainment preferences (genres, languages, cuisines)
- Transaction and booking history
- Beet Bucks balance and history
- Privacy settings
Future Phases¶
- Phase 2: Social features, friend connections, shared watchlists
- Phase 3: Achievements, badges, leaderboards, influencer profiles
3. Design Considerations¶
User Experience¶
- Profile setup in <2 minutes
- Quick preference selection with smart defaults
- Visual transaction history with filtering
- Mobile-first responsive design
Technical Architecture¶
- Efficient data model for preferences
- CDN for profile images
- Real-time balance updates
- GDPR-compliant data handling
Business Rules¶
- Users must verify email before full profile access
- Location determines available events/movies
- Profile data retention: 2 years after last activity
- Preference changes take immediate effect
4. Validation¶
Success Metrics¶
- Profile completion rate: 80%+ within first week
- Preference accuracy: 75%+ relevant recommendations
- Profile visits: 3+ times per week average
- Social connections: 40% connect with friends
- Data quality: 90%+ profiles with valid preferences
Technical Validation¶
- Performance testing for profile loads
- Preference algorithm accuracy testing
- Privacy compliance auditing
- Data integrity validation
5. Risks & Edge Cases¶
High Risk¶
- Privacy concerns: Users worried about data collection
- Mitigation: Clear privacy policy, granular controls
- Stale preferences: Outdated preferences reduce relevance
- Mitigation: Periodic preference refresh prompts
Medium Risk¶
- Profile spam/fake accounts: Affects social features and metrics
- Mitigation: Verification requirements, spam detection
- Data synchronization: Profile updates not reflecting immediately
- Mitigation: Real-time sync, conflict resolution
Edge Cases¶
- Multiple profiles per household: Family sharing scenarios
- Handling: Sub-profiles under main account
- Location changes: Moving cities affects recommendations
- Handling: Location update prompts, history preservation
Key User Flows¶
Initial Profile Setup¶
- User completes registration
- Prompted to set up profile
- Enters basic info and location
- Selects entertainment preferences
- Optionally uploads profile photo
- Sees personalized homepage
Viewing History & Rewards¶
- User clicks profile icon
- Sees dashboard with Beet Bucks balance
- Views recent transactions
- Can filter by type (movies, events, dining)
- Downloads receipts if needed
Updating Preferences¶
- User navigates to settings
- Updates genre/cuisine preferences
- Changes notification settings
- Saves changes
- Immediately sees updated recommendations
Status: Not Started Priority: High Target Release: Q1 2025