Design an A/B test for comments UI

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Quick Overview

This question evaluates experimental design, causal inference, statistical power calculation, variance-reduction techniques, sequential monitoring, and operational rollout considerations for A/B testing a UI change.

Design an A/B test for comments UI

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates experimental design, causal inference, statistical power calculation, variance-reduction techniques, sequential monitoring, and operational rollout considerations for A/B testing a UI change.

Read the full Meta Data Scientist interview experience this question came from

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Meta
Oct 13, 2025
hardData ScientistOnsiteAnalytics & Experimentation
4
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