Introduction
I'm excited to dive into improving Netflix's Ratings System. This is a critical component of the user experience, directly impacting content discovery and user satisfaction. I'll approach this challenge by first understanding the current context, identifying key user segments, analyzing pain points, generating solutions, and proposing a roadmap for implementation. Let's begin with some clarifying questions to ensure we're aligned on the scope and objectives.
Step 1
Clarifying Questions
Why it matters: Determines if we need to consider localization or cultural factors in our solution. Expected answer: Performance varies, with lower engagement in some emerging markets. Impact on approach: Would focus on cultural adaptability and regional customization.
Why it matters: Helps prioritize features and metrics for our improvement strategy. Expected answer: Primary focus is on improving content discovery and recommendation accuracy. Impact on approach: Would emphasize personalization and machine learning enhancements.
Why it matters: Influences whether we should expand social aspects or focus on individual experiences. Expected answer: Limited social features currently, but open to exploration. Impact on approach: Could consider introducing collaborative rating features or external platform integrations.
Why it matters: Helps identify specific areas of the catalog that may need targeted improvements. Expected answer: Series tend to have higher rating engagement than one-off movies. Impact on approach: Might lead to tailored rating prompts or interfaces for different content types.
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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