'People You May Know' on User Activity

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.