Design a Causal Upgrade Experiment

Company: Google

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Technical Screen

Quick Answer: This question evaluates competency in causal inference and experimental design, focusing on handling selection bias, defining intent-to-treat and treatment-on-the-treated estimands, metric specification, and randomized versus quasi-experimental rollout strategies.