Assessing User Retention Through Social Connections

Requirements Clarification & Assessment

1. Understanding the Problem:

   • Objective: Determine if a higher number of friends increases the likelihood of a Meta/Facebook member remaining active after six months.
   • Metrics:
     • Active User: Define what constitutes an active user (e.g., number of logins per week).
     • More Friends: Define what is considered a higher number of friends.

2. Data Requirements:

   • Historical data on the number of friends each user has at a given time (e.g., 6 months ago).
   • User activity data to determine active vs. inactive status after six months.
   • Additional user attributes for controlling confounding variables (e.g., demographics, usage patterns).

3. Study Design:

   • Prospective Study: Track users over time, starting with their current number of friends.
   • Retrospective Study: Use historical data to analyze past trends and outcomes.

4. Hypothesis:

   • Null Hypothesis (H0): The number of friends does not significantly affect the likelihood of a user remaining active after six months.
   • Alternative Hypothesis (H1): A higher number of friends increases the likelihood of a user remaining active after six months.

5. Outcome:

   • A statistical model or analysis result that indicates the relationship between the number of friends and user retention.