Design A/B Test for Google Maps UI Change
Company: Google
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Onsite
##### Scenario
The product team wants to move the Google Maps search bar from the top to the bottom of the screen.
##### Question
Design an A/B test to evaluate this UI change. Define hypothesis, primary and guardrail metrics, experiment unit, randomization, sample-size calculation, runtime, and how you would interpret the results.
##### Hints
Explain success metrics (e.g., searches per session), guardrails (retention, errors), power analysis, novelty effects, and rollout decisions.
Quick Answer: This question evaluates a data scientist's competency in experimental design and product analytics, including hypothesis formulation, metric selection, guardrail definition, randomization, sample-size calculation, and analysis planning for a mobile mapping application's UI change.