Introduction
I'm excited to dive into improving Netflix's Categories/Browse feature. This is a critical component of the user experience, directly impacting content discovery and user engagement. I'll approach this challenge by first clarifying our objectives, then analyzing user segments and pain points, before proposing and evaluating solutions. Let's get started.
Step 1
Clarifying Questions
Why it matters: Determines if we should focus on improving AI-driven personalization or enhancing human-curated categories. Expected answer: Currently, it's a 70/30 split favoring algorithmic recommendations. Impact on approach: A higher reliance on algorithms would lead me to focus on improving the underlying recommendation engine and user data collection.
Why it matters: Influences whether we need to prioritize a more globally consistent experience or double down on localization. Expected answer: Significant variations exist, with 60% of categories being localized. Impact on approach: High localization would lead me to focus on improving the framework for creating and managing region-specific categories.
Why it matters: Affects whether we need to prioritize cross-device continuity in the browsing experience. Expected answer: Approximately 40% of users regularly switch devices mid-session. Impact on approach: A high percentage would lead me to focus on creating a seamless, synchronized browsing experience across devices.
Why it matters: Influences whether we should focus on improving discovery of new content or better surfacing of the existing library. Expected answer: Currently, it's a 60/40 split favoring new releases. Impact on approach: A heavy emphasis on new releases might lead us to redesign category structures to better highlight fresh content while ensuring valuable catalog items don't get buried.
Pause for Reflection
Before we move on to user segmentation, let's take a moment to digest this information and consider its implications for our approach to improving the Categories/Browse feature.
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