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Product Management Root Cause Analysis Question: YouTube video engagement drop investigation
Image of author vinay

Vinay

Updated Nov 15, 2024

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You're the new product manager for YouTube and you notice a drop in video engagement by 15% over the past two weeks. What do you do?

Data Analysis Problem-Solving Strategic Thinking social media video streaming digital entertainment
User Experience Product Metrics Root Cause Analysis Video Engagement Mobile Optimization

Introduction

A 15% drop in YouTube video engagement over two weeks is a significant issue that requires immediate attention. As the new product manager, I'll approach this problem systematically to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • What specific metrics are we using to measure video engagement?

  • Are there any particular user segments or content types more affected?

  • Have there been any recent product updates or changes to the recommendation algorithm?

  • Are we seeing any unusual patterns in user behavior or feedback?

  • Has there been any change in how we measure or define engagement?

  • Are there any known technical issues or outages during this period?

Why these questions matter: They help establish a clear baseline and context for the problem, ensuring we're not missing any obvious factors.

Hypothetical answers:

  • Engagement is measured by watch time, likes, comments, and shares
  • The drop is consistent across user segments but more pronounced in mobile users
  • A minor UI update was rolled out three weeks ago
  • No significant changes in user feedback or behavior patterns noted
  • No changes to engagement definition or measurement
  • No major technical issues reported

Impact on approach: These answers would guide us to focus on mobile users and investigate potential UI-related issues while also considering broader factors affecting all users.

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