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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.

  • medium
  • Meta
  • Analytics & Experimentation
  • Data Scientist

Determine Facebook's Restaurant Recommendation Viability Using Data

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Onsite

##### Scenario Facebook may launch a restaurant-recommendation product. ##### Question How would you decide whether adding restaurant recommendations is worthwhile for Facebook, and which data would you use? ##### Hints Size the addressable market, incremental engagement, revenue potential, cannibalization.

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

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Meta
Jul 12, 2025, 6:59 PM
Data Scientist
Onsite
Analytics & Experimentation
6
0

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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