PracHub
QuestionsPremiumCoachesLearningGuidesInterview Prep
|Home/Analytics & Experimentation/Meta

Assessing whether a new metric A is meaningful for News Feed

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's ability to validate a proposed proxy metric for product goals, testing skills in metrics validation, predictive reasoning, experiment design, and instrumentation within the Analytics & Experimentation domain.

  • medium
  • Meta
  • Analytics & Experimentation
  • Data Scientist

Assessing whether a new metric A is meaningful for News Feed

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

Scenario: Another team proposes metric A as a better proxy for meaningful interactions. Evaluate its predictive power, actionability, and collection cost before adoption. ​ Question 1: How would you assess whether metric A is meaningful for News Feed? (Hint: predictive power, actionability, collection cost)

Quick Answer: This question evaluates a data scientist's ability to validate a proposed proxy metric for product goals, testing skills in metrics validation, predictive reasoning, experiment design, and instrumentation within the Analytics & Experimentation domain.

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
Technical Screen
Analytics & Experimentation
27
0

Evaluating a Proposed Proxy Metric for News Feed

Context

A partner team proposes a new proxy metric, metric A, intended to capture "meaningful interactions" in News Feed. Before adopting it, you need to evaluate whether it is a good proxy for the underlying product goals (e.g., user value, long-term engagement, satisfaction).

Task

Assess whether metric A is meaningful for News Feed along three dimensions:

  1. Predictive power: Does A reliably predict the outcomes we care about, ahead of time?
  2. Actionability: Can the product/ranking system move A in the right direction, and will doing so improve the true goals without perverse incentives?
  3. Collection cost: What is the engineering, infra, latency, privacy, and experimentation cost to log and use A at scale?

Provide a plan, tests, and decision criteria for each dimension.

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.