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)
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.
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.
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.
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.
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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