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Product Management Root Cause Analysis Question: Investigating LinkedIn's video engagement decline through data analysis

Why has the engagement rate for LinkedIn posts containing videos declined by 20% over the past quarter?

Data Analysis Problem Solving Product Strategy Social Media Professional Networking Content Platforms
Root Cause Analysis Social Media Metrics Algorithm Optimization Video Engagement LinkedIn

Introduction

The recent 20% decline in engagement rate for LinkedIn posts containing videos over the past quarter is a concerning trend that requires thorough investigation. As we delve into this issue, we'll employ a systematic approach to identify potential root causes, validate our hypotheses, and develop both short-term and long-term solutions to address this engagement drop.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a seasonal component. Has this decline been observed in previous years during the same quarter?

Why it matters: Seasonal patterns could explain cyclical engagement changes. Expected answer: No similar decline in previous years. Impact on approach: If seasonal, we'd focus on adapting content strategy; if not, we'd investigate recent changes.

  • Considering user segments, I'm curious about the distribution of this decline. Is the 20% drop uniform across all user types, or are certain segments more affected?

Why it matters: Helps pinpoint whether it's a global issue or specific to certain user groups. Expected answer: Varying impact across different user segments. Impact on approach: Would guide our focus on specific user groups or broader platform changes.

  • Thinking about recent changes, have there been any significant updates to the video player or content recommendation algorithm in the past quarter?

Why it matters: Technical changes could directly impact video engagement. Expected answer: Some updates to the recommendation algorithm were implemented. Impact on approach: Would lead us to investigate the algorithm's impact on video content visibility.

  • Regarding content trends, has there been a shift in the types of video content being posted or promoted on the platform recently?

Why it matters: Changes in content type could affect user engagement patterns. Expected answer: No significant changes in content types observed. Impact on approach: If content hasn't changed, we'd focus more on delivery and user experience factors.

  • Considering measurement accuracy, has there been any change in how video engagement is tracked or calculated in the past quarter?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in engagement measurement methodology. Impact on approach: If measurement has changed, we'd need to recalibrate our analysis based on the new methodology.

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