How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

What difficulty level is this interview question?

This is a hard difficulty Analytics & Experimentation question, commonly asked during Onsite rounds at Meta.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Choose KPIs for short-video recommendations

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's ability to define precise product metrics, set guardrails, design and power A/B tests, and apply weighted decision frameworks for a short‑video recommender, covering metric definition, statistical analysis, experiment logistics, and escalation rules.

hard
Meta
Analytics & Experimentation
Data Scientist

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Choose KPIs for short-video recommendations

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