FlickFinder
FlickFinder: Personalized Streaming Made Simple 🎬
Introduction
FlickFinder simplifies content discovery by leveraging AI-driven recommendations based on user preferences, mood, and available time. By eliminating decision fatigue, it enhances satisfaction and retention.
Research & Insights
Understanding user frustrations was key to improving streaming experiences. Through interviews and focus groups, we explored:
How users currently find content
Challenges in making viewing decisions
Features that could improve discovery
Findings revealed that decision paralysis is a major issue, especially after a tiring day. Users needed personalized, effortless content recommendations.
Problem & Solution
🔹 The Problem: Endless content options overwhelm users, leading to frustration.
🔹 The Vision: FlickFinder’s AI personalizes suggestions based on user mood, preferences, and context through a chat-based experience.
Context Scenario 🎭
Emily, a busy marketing manager, wants something lighthearted. She asks FlickFinder:
"Hey, I need something funny but not too heavy."
FlickFinder suggests Brooklyn Nine-Nine, aligning with her past preferences.
Testing & Iteration
FlickFinder guides users seamlessly through:
🔹 Swiping between trending and new content
🔹 Selecting available platforms & regions
🔹 Navigating through an intuitive menu
Iterated Design & Exploration
🔹 Fast & Familiar – Home, News, Trending, Wishlist for easy access
🔹 Simple & Smart – AI continuously learns, improving recommendations
Conclusion
FlickFinder transforms content discovery with an effortless, AI-driven experience. Through continuous iteration and user feedback, it eliminates choice fatigue, making streaming enjoyable again. 🚀
