Product design question

Design a product to reduce wait times for rides at Disneyland.

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 sense for a physical, operational wait time problem, requiring a digital solution grounded in real park constraints.

Define the user: park guests trying to maximize the number of rides experienced in a day long visit.
Identify the core lever: virtual queues already exist, so the improvement is making wait prediction and queue joining smarter, not reinventing the concept.
Propose real time AI predicted wait times combined with a personalized optimal route recommendation based on remaining time and preferences.
Consider incentivizing off peak ride usage by showing shorter waits at less popular times to spread demand.
Define success: average wait time per ride experienced, and rides completed per guest per day.

Builds on the existing virtual queue system instead of inventing an unrelated mechanism.
Proposes a personalized route optimizer, a genuinely differentiated idea beyond just showing wait times.
Uses rides per day as a meaningful outcome metric tied to guest satisfaction, not just wait time in isolation.

How would you balance guests who pay for priority access against fairness for those who do not?
How would you handle unpredictable wait spikes, like a ride breakdown?