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 Technical Screen rounds at Meta.

What role is this question designed for?

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

Evaluating a 15 % reduction in post‑card height

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in experimentation and product analytics, specifically experimental design, metric selection, and diagnostic analysis for differing regional outcomes.

Scenario

You own the feed UX for a social app. Designers propose shrinking each post card’s height by 15% to show more content per scroll, aiming to increase session depth and ad load.

You must measure scroll efficiency and user engagement, and later diagnose why U.S. revenue rises while Thailand’s falls after launch.

Questions

Measuring impact of a 15% post card height reduction

How would you design the experiment and what metrics would you track? (Hint: visible posts per view, scroll speed, ad impressions)

Divergent geo outcome

After launch, U.S. revenue is up but Thailand is down. What would you do next? (Hint: local content mix, bandwidth constraints, ad pricing)

Solution

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Evaluating a 15 % reduction in post‑card height

Quick Overview