How would you estimate impact without A/B?

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

Quick Answer: 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.

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Jan 16, 2026, 12:00 AM
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