Introduction
The 30% decrease in average watch time for HBO's original series content on HBO Max this quarter is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the platform's success.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only addresses the immediate concern but also sets the stage for sustainable growth and improved user engagement.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could significantly impact our approach to solving the problem. Expected answer: This decrease is unusual for this quarter. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes more closely.
Why it matters: Understanding which user segments are most impacted will help us target our solutions more effectively. Expected answer: The decrease is more pronounced among younger viewers. Impact on approach: We'd focus on content preferences and viewing habits of the most affected segments.
Why it matters: Platform changes or content shifts could directly impact user behavior and watch time. Expected answer: A new user interface was rolled out two months ago. Impact on approach: We'd investigate how the UI change might have affected content discovery and user engagement.
Why it matters: Ensuring data consistency is crucial for accurate problem identification. Expected answer: No changes in measurement methodology. Impact on approach: If there were changes, we'd need to recalibrate our analysis based on the new methodology.
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