Product design question

Design an ebike service for Google.

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

Product design for physical, infrastructure-dependent products, requiring city-level operational and regulatory thinking.

Users: urban commuters for short trips, and tourists wanting flexible sightseeing transport.
Pain points: last-mile transport gaps from transit stops, and limited affordable options for short urban trips.
Prioritize: start with dense, transit-adjacent urban zones where the last-mile gap is most acute.
Solution: dockless or hybrid-dock ebikes with app-based unlock, paired with safe parking zones to avoid city regulatory pushback.
Address regulation and safety: partner with city governments on permits and defined parking zones to avoid the sidewalk clutter issues that hurt earlier scooter launches.
Success metric: rides per bike per day, and city partnership renewal or permit approval rate.

Grounds the design in the known last-mile transit gap problem (common knowledge urban mobility context).
Proactively addresses the regulatory and sidewalk-clutter backlash that affected earlier dockless scooter and bike launches, a realistic risk to plan for.
Sets an operationally meaningful metric, rides per bike per day, which reflects fleet utilization efficiency.

Ignoring city regulation and permitting, a major real-world blocker for shared micromobility.
No consideration of parking and sidewalk clutter, a well known failure mode for earlier dockless launches.
Vague success metric unrelated to fleet utilization or city partnership health.

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