Introduction
To enhance HBO Max's streaming interface for improved content discovery, we need to analyze user behavior, identify pain points, and develop innovative solutions that align with WarnerMedia's strategic goals. I'll approach this challenge by segmenting users, analyzing their journey, and proposing data-driven improvements to the discovery experience.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines if we should prioritize user acquisition or retention strategies. Expected answer: HBO Max is experiencing steady growth but facing increased competition from Disney+ and Netflix. Impact on approach: Would focus on differentiation and enhancing user engagement to reduce churn.
Why it matters: Helps identify gaps in the current discovery system and potential areas for improvement. Expected answer: Currently using a mix of genre-based categorization and collaborative filtering for recommendations. Impact on approach: Would explore more advanced personalization techniques and alternative discovery methods.
Why it matters: Informs design decisions for a cohesive discovery experience across platforms. Expected answer: Majority of daytime streaming on mobile, evening primetime viewing on smart TVs. Impact on approach: Would tailor discovery features to suit different contexts and devices.
Why it matters: Helps define clear success criteria for our improvement efforts. Expected answer: Key metrics include time to first play, content completion rates, and return frequency. Impact on approach: Would focus on optimizing these specific metrics in our solution design.
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