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.