Introduction
I'm excited to dive into improving Netflix's Search & Discovery feature. This is a critical component of the user experience, directly impacting engagement, retention, and overall satisfaction. I'll approach this challenge by first clarifying our objectives, then analyzing user segments and pain points, before proposing and evaluating solutions. Let's begin with some clarifying questions to ensure we're aligned on the scope and goals of this improvement initiative.
Step 1
Clarifying Questions
Why it matters: Determines if we need to consider localization and regional content preferences Expected answer: Global initiative with potential for regional customization Impact on approach: Would focus on scalable solutions with flexibility for regional adaptations
Why it matters: Helps prioritize areas for improvement and set benchmarks Expected answer: Lagging in personalization accuracy, aiming to improve watch time and reduce browse time Impact on approach: Would emphasize personalization algorithms and user interface optimizations
Why it matters: Informs the technical feasibility and potential of proposed solutions Expected answer: Using collaborative filtering and content-based recommendation systems, open to exploring more advanced AI technologies Impact on approach: Would consider integrating more sophisticated AI models for personalization and content understanding
Why it matters: Influences the design of recommendation algorithms and content presentation Expected answer: Aiming for a balanced approach, with a slight emphasis on promoting Netflix originals Impact on approach: Would design solutions that allow for flexible content promotion strategies while maintaining user-centric recommendations
Tip
Now that we've established some context, let's take a brief moment to organize our thoughts before moving on to user segmentation.
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