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Evaluate the Health of Facebook Groups

Last updated: Mar 29, 2026

Quick Overview

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

  • hard
  • Meta
  • Analytics & Experimentation
  • Data Scientist

Evaluate the Health of Facebook Groups

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Onsite

Scenario: Groups range from intimate hobby clubs to massive public communities. Leadership wants a single ‘health’ score, while engineers plan to launch Reddit‑style threaded comments. You need to pick health metrics, compare small vs large Groups, and validate whether the new UI improves deep discussion. ​ Question 1: Which metrics would you track to measure Group health? (Hint: share of active members, lurker ratio, violation rate) Question 2: How would you compare performance between large and small Groups? (Hint: scale‑normalised engagement per capita) Question 3: If Reddit‑style comment threads are introduced, how would you test for interaction lift? (Hint: A/B design, retention, depth of discussion)

Quick Answer: 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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Meta
Jul 12, 2025, 6:59 PM
Data Scientist
Onsite
Analytics & Experimentation
50
0

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

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

Solution

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