Evaluate the Health of Facebook Groups

Q: Evaluate the Health of Facebook Groups

This question evaluates competency in product analytics, metric design, scale-normalized performance comparison, and experimental inference within the Analytics & Experimentation and Data Science domain.

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Question

Group Health Metrics and Experiment Design for Threaded Comments

Context

You are a Data Scientist working on a platform with Groups that range from small hobby clubs to very large public communities. Leadership wants a single, comparable "Group health" score across all Groups. Engineering plans to launch Reddit‑style threaded comments to encourage deeper discussions. You must:

Propose health metrics (and define them clearly).
Compare performance between small and large Groups fairly.
Design a test to validate whether threaded comments increase deep interaction.

Questions

Which metrics would you track to measure Group health?
How would you compare performance between large and small Groups so the comparison is fair and scale‑normalised?
If Reddit‑style comment threads are introduced, how would you test for interaction lift (e.g., A/B design, retention, depth of discussion)?

Evaluate the Health of Facebook Groups

Group Health Metrics and Experiment Design for Threaded Comments

Context

Questions

Solution

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