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Product Management Root Cause Analysis Question: Netflix homepage engagement increase with declining content consumption

You are a PM for Netflix homepage and notice that 4the time spent on the homepage has gone up, the content consumption is declining. How would you go about understanding this more and fixing this?

Data Analysis Hypothesis Testing Product Strategy Streaming Entertainment Technology
User Engagement Netflix Root Cause Analysis Streaming Content Recommendation

Introduction

The Netflix homepage serves as the gateway to content discovery and consumption, making it a critical touchpoint for user engagement. We're facing a concerning trend where increased time spent on the homepage correlates with declining content consumption. This scenario requires a thorough investigation to uncover the root cause and implement effective solutions.

I'll approach this issue systematically, starting with clarifying questions, then moving through data analysis, hypothesis generation, and validation, before proposing targeted solutions. My goal is to restore the balance between homepage engagement and content consumption, ultimately driving user satisfaction and retention.

Framework overview

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

Step 1

Clarifying Questions

  • I'm curious about the timeline. Has this trend been observed over weeks or months?

Why it matters: The duration helps determine if it's a temporary fluctuation or a persistent issue. Expected answer: The trend has been observed over the past 2-3 months. Impact on approach: A longer timeframe suggests a systemic issue rather than a short-term anomaly.

  • Are we seeing this behavior across all user segments or is it more pronounced in specific groups?

Why it matters: Identifying affected segments can help narrow down potential causes. Expected answer: The trend is more noticeable among casual users but exists across segments. Impact on approach: This would lead us to investigate factors that might disproportionately affect casual users.

  • Have there been any recent changes to the homepage algorithm or UI?

Why it matters: Recent changes could directly impact user behavior on the homepage. Expected answer: A minor UI update was implemented about 3 months ago. Impact on approach: This timing aligns with the observed trend, making it a prime area for investigation.

  • Is the increased time on homepage accompanied by any changes in user interaction patterns?

Why it matters: This could reveal if users are struggling to find content or if the homepage is becoming more engaging in an unintended way. Expected answer: There's an increase in scrolling behavior and category exploration. Impact on approach: This suggests we need to look at content discoverability and recommendation accuracy.

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