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Design an A/B test for non-friend posts

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of experimental design, causal inference, metric definition and selection, handling network interference and content supply issues, and operational rollout considerations for product experiments.

  • Hard
  • Meta
  • Analytics & Experimentation
  • Data Scientist

Design an A/B test for non-friend posts

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: Hard

Interview Round: Technical Screen

## Experiment design question A social network launches a new feed feature: users can now see some posts from **people they are not friends/connected with**. ## Task Design an **A/B test** to decide whether to keep and scale this feature. Your answer should include: 1. **Hypothesis** and what success means. 2. **Experiment unit** and randomization strategy. 3. **Primary metric**, plus diagnostic and guardrail metrics (and why). 4. How you’d handle **network effects/interference** and **content supply** issues. 5. Practical considerations: ramp plan, duration, novelty effects, and key segments.

Quick Answer: This question evaluates understanding of experimental design, causal inference, metric definition and selection, handling network interference and content supply issues, and operational rollout considerations for product experiments.

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Jul 28, 2025, 12:00 AM
Data Scientist
Technical Screen
Analytics & Experimentation
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Experiment design question

A social network launches a new feed feature: users can now see some posts from people they are not friends/connected with.

Task

Design an A/B test to decide whether to keep and scale this feature.

Your answer should include:

  1. Hypothesis and what success means.
  2. Experiment unit and randomization strategy.
  3. Primary metric , plus diagnostic and guardrail metrics (and why).
  4. How you’d handle network effects/interference and content supply issues.
  5. Practical considerations: ramp plan, duration, novelty effects, and key segments.

Solution

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