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Imagine you're a data scientist at Meta. There's been a sudden 10% drop in Facebook's daily post views. How would you investigate?

Focus on outlining a structured approach to diagnose the drop in daily post views. Start by identifying key metrics that could be affected, such as user engagement, algorithm changes, or content types. Discuss how you would segment the data to analyze trends over time and across different demographics or regions. Consider external factors that could influence user behavior, like recent news or changes in competing platforms. Finally, emphasize the importance of collaboration with cross-functional teams, such as engineering and product management, to gather insights and implement potential solutions.

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