AMAZON PRIME VIDEO | CONTENT DISCOVERY
From 15 Minutes to 30 Seconds: Cutting Decision Fatigue in Streaming
A deep dive into reducing friction in Amazon Prime Video's content discovery experience. This case study explores how AI-powered personalization and streamlined UX can transform the way users find what to watch.
The Problem
15 Minutes Wasted
Average time users spend browsing before making a selection - often leading to abandonment.
Decision Fatigue
Overwhelming content catalog with no clear path to discovery creates cognitive overload.
Missed Engagement
Users often give up and switch platforms rather than continue searching.
My Approach
User Journey Analysis
Mapped the complete content discovery journey, identifying key friction points and drop-off moments in the user experience.
Competitive Benchmarking
Analyzed Netflix, Disney+, and HBO Max to understand best practices in content recommendation and UI patterns.
AI Recommendation Engine Design
Proposed improvements to the recommendation algorithm incorporating viewing history, time of day, and mood-based suggestions.
Streamlined UX Prototype
Designed a simplified browsing experience with smart filters, quick previews, and personalized carousels.
Projected Impact
97%
Reduction in decision time (15 min to 30 sec)
40%
Increase in content engagement projected
Key Contributions
- Analyzed user journey pain points in content selection
- Proposed AI-driven recommendation engine improvements
- Designed streamlined browsing experience reducing decision time by 97%
- Created MVP prototype for enhanced discovery flow
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