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 medium 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.

Define and estimate prevalence of unhealthy users

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's ability to operationalize an "unhealthy user" metric and compute its prevalence from session duration and date-based data, testing metric definition, cohort analysis, and data-quality reasoning within Analytics & Experimentation.

medium
Meta
Analytics & Experimentation
Data Scientist

|Home/Analytics & Experimentation/Meta

Define and estimate prevalence of unhealthy users

Write your answer

Your first approved answer each day earns 20 XP.