Estimation question

How many drones do you need to serve the Bay area?

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

Estimation combining geography, demand, and operational throughput assumptions for a hypothetical drone delivery service.

Define scope, assume this means the greater Bay Area population centers, roughly 7 million people, served by drone delivery for small packages.
Estimate daily delivery demand, assume 2 percent of the population orders a drone eligible small package on a given day, roughly 140,000 deliveries per day.
Estimate drone throughput, assume each drone can complete 10 round trip deliveries per day accounting for charging, loading, and flight time.
Divide demand by throughput: 140,000 divided by 10 gives roughly 14,000 drones needed to cover peak daily demand.
Adjust for redundancy and maintenance downtime, assume 20 percent extra fleet capacity, landing around 16,000 to 17,000 drones total.
State the final estimate as a range and flag daily order penetration as the most uncertain and sensitive assumption.

Builds the estimate from population to demand to fleet throughput in clear, connected steps.
Adjusts for real operational factors like drone downtime and maintenance, not just raw round trip math.
Names the most sensitive assumption, demand penetration, since drone delivery adoption is genuinely uncertain today.

Estimating total population without narrowing to realistic daily order penetration for a new service.
Ignoring drone downtime for charging and maintenance, which significantly affects real throughput.

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