Evaluate Impact of New Roblox Homepage Tab

Quick Overview

Roblox data scientist experimentation prompt on evaluating a new homepage tab, including hypotheses, engagement funnel metrics, guardrails, power, duration, segmentation, cannibalization, and rollout criteria.

Evaluate Impact of New Roblox Homepage Tab

Company: Roblox

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

##### Scenario Roblox plans to replace an existing homepage tab with a new one and needs to measure the business impact of this change. ##### Question If Roblox replaces an existing homepage tab with a new one, how would you evaluate its impact? Which primary and guardrail metrics would you track, and what hypotheses would you state? Design an experiment or analysis plan outlining sample size, duration, segmentation, and success criteria. ##### Hints Think engagement funnel (CTR, session length, retention), controlled A/B test design, power analysis, guardrails, and potential confounders.

Overview: Roblox data scientist experimentation prompt on evaluating a new homepage tab, including hypotheses, engagement funnel metrics, guardrails, power, duration, segmentation, cannibalization, and rollout criteria.

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Roblox
Jul 12, 2025
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Evaluate the Impact of a New Roblox Homepage Tab

Roblox plans to replace an existing homepage tab with a new one. The team needs to measure whether the change improves user engagement and downstream outcomes without harming core platform health.

Constraints & Assumptions

  • The new tab replaces an existing surface, so measure net impact and cannibalization.
  • Use a controlled experiment where possible.
  • Include hypotheses, metrics, sample size, duration, segmentation, and success criteria.
  • Consider user safety, latency, retention, monetization, and creator or experience fairness as guardrails.

Clarifying Questions to Ask Guidance

  • What is the goal of the new tab: discovery, playtime, retention, monetization, or personalization quality?
  • Which users are eligible: all users, new users, certain ages, regions, or platforms?
  • What tab is being replaced, and what are its current metrics?
  • Are there safety or content-quality constraints for what the tab surfaces?

What a Strong Answer Covers Guidance

  • Hypotheses for engagement, discovery quality, and non-inferiority on guardrails.
  • Primary metrics such as experience launches per user, playtime per user, retained users, or meaningful sessions.
  • Funnel diagnostics: tab impressions, CTR, launch-through rate, bounce rate, time to first launch, repeat play, and cannibalization from other tabs.
  • Guardrails: retention, crashes, latency, moderation/safety events, spend, ads, creator distribution, user complaints, and age-segment safety.
  • Experiment design: randomization unit, allocation, exposure logging, ramp, power, minimum detectable effect, and duration.
  • Segmentation by age, platform, geography, new versus existing users, engagement level, and content category.
  • Decision rules for launch, iteration, targeted rollout, or rollback.

Follow-up Questions Guidance

  • How would you tell whether extra launches are incremental?
  • What if the new tab improves playtime but hurts retention for younger users?
  • How would you handle novelty effects?
  • What would you monitor during the first day of ramp?
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