Design evaluation when A/B test is impossible

Read the full interview experience this question came from →

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

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.

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

|Home/Analytics & Experimentation/Microsoft
Microsoft logo
Microsoft
Feb 9, 2026
easyData ScientistTechnical ScreenAnalytics & Experimentation
8
0
Loading...
Loading comments...