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Product Management Root Cause Analysis Question: Investigating YouTube's declining average watch time per user

Asked at Google

15 mins

Average hours of videos watched per monthly active users have fallen for Youtube. What could be the possible reasons?

Data Analysis Hypothesis Testing Problem-Solving social media streaming services digital entertainment
User Engagement Root Cause Analysis Content Strategy Video Platforms Algorithm Optimization

Introduction

The decline in average hours of videos watched per monthly active user on YouTube is a concerning trend that requires thorough investigation. This metric is crucial for YouTube's success, as it directly impacts user engagement, ad revenue, and overall platform health. To address this issue, I'll employ a systematic approach to identify potential root causes, validate hypotheses, and develop both short-term and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • What's the specific time frame for this decline?

  • Are there any particular user segments more affected than others?

  • Have there been any recent major product changes or updates?

  • Are we seeing similar trends across all devices and platforms?

  • Has there been any change in how we measure or define monthly active users?

Understanding the time frame helps identify potential external factors or internal changes that might have triggered the decline. Knowing which user segments are most affected allows us to focus our investigation and tailor solutions. Recent product changes could be directly related to the issue, while device-specific trends might point to technical problems. Lastly, ensuring consistency in our metrics is crucial for accurate analysis.

Hypothetical answers:

  • The decline has been observed over the past three months
  • Younger users (18-24) seem to be more affected
  • A major algorithm update was implemented two months ago
  • The trend is consistent across all devices
  • No changes in metric definition or measurement

These answers would guide us to focus on recent changes, particularly the algorithm update, and to pay special attention to the preferences and behaviors of younger users.

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