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Beet Bites

1. Why It Exists

Problem it solves: Users miss out on entertainment opportunities because they're not actively searching. Traditional apps require intentional browsing, leading to low daily engagement and missed events that users would have loved.

Value proposition: Daily curated micro-content about entertainment, culture, and community events specifically for the Indian diaspora. Swipeable format makes discovery effortless and addictive, with exclusive early-bird deals creating urgency.

Strategic importance: Primary driver of Daily Active Users (DAU). Beet Bites creates a daily habit that naturally leads users to discover and purchase events, movies, and experiences through the platform.

2. Scope

MVP (Current Phase)

  • 10-15 daily curated bites
  • Swipe interface (Tinder-style)
  • Categories: Movies, Events, Food, Culture
  • Early-bird ticket links
  • Save for later functionality

Future Phases

  • Phase 2: Personalized feed, video bites, user-generated content
  • Phase 3: AI curation, sponsored bites, bite sharing, comments

3. Design Considerations

User Experience

  • Load time: <1 second
  • Bite consumption: 5-10 seconds each
  • Daily session target: 3-5 minutes
  • Visual-first design with minimal text
  • Smooth swipe animations

Technical Architecture

  • Pre-cached content for offline viewing
  • CDN for media delivery
  • ML-based content ranking
  • A/B testing framework for optimization

Business Rules

  • New bites published daily at 8 AM local time
  • Bites expire after 48 hours
  • Maximum 20 bites per day
  • Early-bird deals valid for 24 hours
  • Saved bites stored for 30 days

4. Validation

Success Metrics

  • DAU increase: 40% within 3 months
  • Session frequency: 1.5+ opens per day
  • Bite engagement: 80% swipe completion rate
  • Conversion: 15% click-through to events/movies
  • Retention: 60% weekly active users

Technical Validation

  • Content loading performance testing
  • Swipe gesture responsiveness
  • Personalization algorithm accuracy
  • Push notification delivery rates

5. Risks & Edge Cases

High Risk

  • Content quality: Poor curation reduces engagement
  • Mitigation: Editorial team, user feedback, ML optimization
  • Information overload: Too many bites overwhelm users
  • Mitigation: Daily limits, personalization, categories

Medium Risk

  • Stale content: Same content reduces return visits
  • Mitigation: Strict freshness requirements, diverse sources
  • Cultural misalignment: Content doesn't resonate with diaspora
  • Mitigation: Community moderators, cultural consultants

Edge Cases

  • No relevant content: Slow news days
  • Handling: Evergreen content bank, user-generated fills
  • Regional differences: Content relevance varies by location
  • Handling: Geo-targeted bites, local content partners

Key User Flows

Daily Bite Consumption

  1. User receives morning push notification
  2. Opens app to Beet Bites screen
  3. Swipes through daily bites
  4. Taps interesting bites for details
  5. Books early-bird tickets if interested
  6. Saves bites for later reference

Discovering Through Bites

  1. User swipes through entertainment news
  2. Sees exclusive Bollywood movie premiere
  3. Taps for early-bird pricing
  4. Redirected to Box Office booking
  5. Completes purchase with Beet Pay

Sharing Bites

  1. User finds interesting cultural event
  2. Long-presses to share options
  3. Shares to WhatsApp/social media
  4. Friends click link to view bite
  5. New users prompted to download app

Status: Not Started Priority: High Target Release: Q2 2025