Design an Unbiased Upgrade Experiment

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Quick Overview

This question evaluates understanding of causal inference, experiment design, and metric selection in product analytics, including defining causal estimands and distinguishing intent-to-treat versus treatment-on-the-treated effects.

Design an Unbiased Upgrade Experiment

Company: Google

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Technical Screen

Overview: This question evaluates understanding of causal inference, experiment design, and metric selection in product analytics, including defining causal estimands and distinguishing intent-to-treat versus treatment-on-the-treated effects.

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

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Dec 29, 2025
hardData ScientistTechnical ScreenAnalytics & Experimentation
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