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.

Determine Facebook's Restaurant Recommendation Viability Using Data | Meta Interview Question

Determine Facebook's Restaurant Recommendation Viability Using Data

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's ability to apply product analytics, market-sizing, engagement and revenue modeling, cannibalization assessment, and experimental measurement concepts.

Product Case: Restaurant Recommendations on Facebook

Scenario

Facebook is considering launching a restaurant-recommendation feature (e.g., a surface that helps people discover where to eat using social signals, local business Pages, and location).

Question

How would you decide whether adding restaurant recommendations is worthwhile for Facebook, and which data would you use?

Hints

Size the addressable market
Estimate incremental engagement
Evaluate revenue potential
Assess cannibalization and opportunity cost
Plan measurement (experiments) and guardrails

Solution

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