PracHub
QuestionsPremiumCoachesLearningGuidesInterview Prep
|Home/Analytics & Experimentation/Meta

Evaluate Facebook's Restaurant Recommendations Feature Effectiveness

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's competency in online experimental design and product analytics, including defining treatment and control groups, selecting primary and guardrail metrics, estimating sample size and duration, and planning rollout and decision criteria.

  • medium
  • Meta
  • Analytics & Experimentation
  • Data Scientist

Evaluate Facebook's Restaurant Recommendations Feature Effectiveness

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Onsite

##### Scenario Facebook considering launching restaurant recommendations in the News Feed. ##### Question Design an experiment to evaluate the feature: define treatment, control, success metrics, guardrail metrics, sample-size approach, and rollout criteria. ##### Hints Focus on incremental engagement, CTR, downstream orders; watch for feed scroll depth and churn.

Quick Answer: This question evaluates a candidate's competency in online experimental design and product analytics, including defining treatment and control groups, selecting primary and guardrail metrics, estimating sample size and duration, and planning rollout and decision criteria.

Related Interview Questions

  • Measure scheduled posts feature success - Meta (medium)
  • Estimate ads ranking revenue impact - Meta (medium)
  • How should you evaluate unconnected content? - Meta (medium)
  • Should WhatsApp launch group calls? - Meta (medium)
  • How would you grow Meta products? - Meta (medium)
Meta logo
Meta
Jul 12, 2025, 6:59 PM
Data Scientist
Onsite
Analytics & Experimentation
10
0

Experiment Design: Restaurant Recommendations in Facebook News Feed

Context

Facebook is considering launching restaurant recommendation units inside the News Feed (e.g., a card showing nearby restaurants with images, ratings, and a "Learn more/Order" CTA). The goal is to drive meaningful user engagement and downstream restaurant orders without harming overall feed health.

Task

Design an experiment to evaluate this feature. Specify:

  1. Treatment vs. control definition and unit of randomization
  2. Success metrics (primary and secondary) with clear definitions
  3. Guardrail metrics to protect feed health and revenue
  4. Sample size and duration approach (with assumptions and example calculations)
  5. Rollout and decision criteria, including ramp strategy and validation

Solution

Show

Submit Your Answer to Earn 20XP

Sign in to leave a comment

Loading comments...

Browse More Questions

More Analytics & Experimentation•More Meta•More Data Scientist•Meta Data Scientist•Meta Analytics & Experimentation•Data Scientist Analytics & Experimentation
PracHub

Master your tech interviews with 8,000+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities
  • Student Access

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.