AI & Technical question

Imagine that you are a product manager at Google Maps and you wish to integrate with DoorDash so that users can order delivery. Your task is to design the API.

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

Technical API design thinking: defining a clean integration contract between two products with different data models.

Define the core use case: a Maps user requests delivery of a specific item to their current or a chosen location.
Specify the API surface, such as endpoints for checking DoorDash availability at a location, initiating an order, and tracking status.
Address data exchange, like passing store, item, and location data from Maps to DoorDash and order status back.
Consider failure and edge cases, such as store closed, item unavailable, or delivery area not covered.
Define success metrics, such as order completion rate initiated from Maps and API latency for availability checks.

Designs a clear request and response contract, specifying what data flows each direction rather than a vague integrate them statement.
Addresses real failure modes, like unavailable items or out of range delivery, showing systems thinking beyond the happy path.
Names concrete metrics like order completion rate and API latency to judge integration quality.

Designing only the happy path without handling store closures or delivery area limits.
Ignoring how authentication and payment would be handled across the two systems.

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