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Data Interview Question

'People You May Know' on User Activity

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Requirements Clarification & Assessment

  1. Define Engagement Metrics:

    • Clarify what constitutes user engagement. This could include actions such as the number of posts, likes, comments, shares, time spent on the platform, and friend requests sent.
    • Determine if engagement is measured differently for users with varying friend counts.
  2. Identify User Segments:

    • Determine if the observed trend of decreased engagement is platform-wide or specific to certain regions or demographics.
    • Understand if this trend is more pronounced in users with a higher number of friends.
  3. Feature Usage Data:

    • Gather data on how frequently users interact with the 'People You May Know' feature.
    • Investigate if recent changes have been made to the feature that could impact user engagement.
  4. Hypothesis Framing:

    • Clearly define the hypothesis: "The 'People You May Know' feature is responsible for decreased engagement among users with more friends."
    • Establish a null hypothesis: "The 'People You May Know' feature does not affect user engagement."
  5. Metric Selection:

    • Primary Metrics: Average posts per week, number of interactions per session.
    • Secondary Metrics: Churn rate, daily active users (DAU), monthly active users (MAU).
    • Guardrail Metrics: Overall platform retention, ad impressions, and revenue per ad.