Design evaluation when A/B test is impossible

Quick Overview

This question evaluates a data scientist's competency in causal inference, observational experiment design, metric selection, and production monitoring within the Analytics & Experimentation domain.

Design evaluation when A/B test is impossible

Company: Microsoft

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: easy

Interview Round: Technical Screen

Quick Answer: This question evaluates a data scientist's competency in causal inference, observational experiment design, metric selection, and production monitoring within the Analytics & Experimentation domain.

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Microsoft
Feb 9, 2026, 11:59 AM
easyData ScientistTechnical ScreenAnalytics & Experimentation
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