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Evaluate Optimal Jogging Routes Feature with A/B Testing

GoogleData Scientist · Technical Screen
MediumData ScientistTechnical ScreenAnalytics & Experimentation

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Evaluates A/B test design for Google Maps jogging route recommendations. Strong answers define jogging intent and exposure, measure completed runs and satisfaction, include safety and privacy guardrails, and specify randomization, MDE, power, logging, and rollout criteria.

Scenario

Google Maps plans a feature that recommends optimal jogging routes.

Question

How would you evaluate whether this idea is valuable for users and the business? Design an experiment for launch: success metrics, triggering logic, unit of randomization, guardrails, and minimum detectable effect (MDE).

Hints

Define primary KPI (e.g., completed jogs), secondary metrics, power assumptions, and how to log route-recommendation events.