Product design question

Design an application that allows Google employees to stay fit and track their health.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Internal product design for employee wellbeing, testing whether you balance motivation with privacy and inclusivity concerns.

Users: a broad employee base with varying fitness levels, from casual walkers to serious athletes, and varying comfort with health data sharing.
Pain points: generic fitness apps do not account for workplace context, like standing desk breaks or team-based motivation.
Prioritize: privacy and opt-in design first, since health data is sensitive and mandatory participation would create real trust issues.
Solution: an opt-in app with flexible activity tracking (not just steps), team challenges for social motivation, and integration with campus fitness perks.
Guardrail: ensure the design does not inadvertently pressure employees or expose personal health data to managers.
Success metric: active opt-in participation rate, and sustained engagement over months, not just a launch-week spike.

Leads with privacy and opt-in design as a first-class requirement, appropriate for a sensitive, employer-context health product.
Proposes team-based social motivation, a mechanism well suited to a workplace context rather than a copy of a generic consumer fitness app.
Sets a sustained engagement metric, avoiding a vanity launch-week spike as the definition of success.

Making participation mandatory or manager-visible, a real privacy and trust risk in a workplace setting.
Copying a generic consumer fitness app with no workplace-specific design.
Measuring only launch-week signups instead of sustained engagement.

Chapters of the AI PM course that teach what this question tests.