Determine Player Preference for Local Game Creators

Q: Determine Player Preference for Local Game Creators

This question evaluates a data scientist's ability to define primary and secondary engagement and retention metrics that capture player preference for locally created games and to design credible observational causal analyses when randomized experiments are infeasible.

Q: 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.

Question

Player Preference for Local Creators — Metrics and Causal Estimation Without A/B Tests

Context

You are evaluating whether players on Roblox prefer games created by local creators (e.g., creator and player share the same country/region/language). You must:

Define clear primary and secondary metrics that capture “preference.”
If an A/B test is infeasible, propose a credible observational analysis plan that estimates causal effects while mitigating selection bias.

Assume you can label each game session with whether its creator is “local” to the player, and you have standard engagement and retention telemetry at the session and player level.

Tasks

Define primary metric(s) and secondary metric(s) to measure player preference for local creators.
When randomized testing is not possible, outline a causal analysis plan that addresses selection bias (e.g., matching, instrumental variables, difference-in-differences), including assumptions and validation.

Determine Player Preference for Local Game Creators

Player Preference for Local Creators — Metrics and Causal Estimation Without A/B Tests

Context

Tasks

Solution

Comments (0)

Determine Player Preference for Local Game Creators

Overview

Player Preference for Local Creators — Metrics and Causal Estimation Without A/B Tests

Context

Tasks

Solution

Comments (0)