How would you estimate impact without A/B?

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Quick Overview

This question evaluates a data scientist's competency in causal inference, experimental design, metric definition and diagnostics, with specific emphasis on confounding, selection bias, interference, and Simpson's paradox.

How would you estimate impact without A/B?

Company: Microsoft

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates a data scientist's competency in causal inference, experimental design, metric definition and diagnostics, with specific emphasis on confounding, selection bias, interference, and Simpson's paradox.

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

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Jan 16, 2026
mediumData ScientistTechnical ScreenAnalytics & Experimentation
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