Design an A/B test for comments UI

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

Quick Answer: 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.

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Oct 13, 2025, 9:49 PM
hardData ScientistOnsiteAnalytics & Experimentation
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