Diagnose a watch-time drop and design experiments

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Quick Overview

This question evaluates a data scientist's competency in experimental design, causal inference, metric selection and definition, segmentation, and statistical power/sample-size calculations within the Analytics & Experimentation domain and product analytics for user engagement.

Diagnose a watch-time drop and design experiments

Company: ByteDance

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Technical Screen

Overview: This question evaluates a data scientist's competency in experimental design, causal inference, metric selection and definition, segmentation, and statistical power/sample-size calculations within the Analytics & Experimentation domain and product analytics for user engagement.

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

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ByteDance
Oct 13, 2025
hardData ScientistTechnical ScreenAnalytics & Experimentation
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