Design a clustered A/B test with spillovers
Company: Meta
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: hard
Interview Round: HR Screen
Overview: This question evaluates a data scientist's understanding of cluster-randomized experiments with spillovers, covering causal inference under interference, intracluster correlation and power/sample-size calculations, cluster formation and balance checks, staggered-adoption analysis, and metrics and multiple-testing control.
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