Strategy question
Build and launch Uber for Events. Focus on rides to/from large events (10,000+ attendees) and create a magical experience for riders and drivers.
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What this question tests
End-to-end product strategy and launch planning for a niche, high-volume use case with two distinct user groups.
How to approach it
- Clarify scope and constraints, confirming this is a new product line versus a feature within the existing Uber app, and the launch timeline.
- Identify the two user groups: attendees needing predictable, fast rides in and out of a venue, and drivers needing high utilization without long queue waits.
- List pain points: post-event surge chaos, long pickup queues, and drivers avoiding events due to congestion and low visibility into demand.
- Propose the design: designated pickup zones with virtual queuing, pre-scheduled ride reservations tied to event end times, and driver incentives for staging near venues.
- Prioritize the pre-event scheduling and post-event queuing system first, since post-event chaos is the sharpest pain point and easiest to quantify.
- Define success with a specific metric, like average wait time post-event and driver earnings per hour during event windows, and confirm scope on a pilot city or venue.
What a strong answer includes
- Names the sharpest pain point precisely, post-event surge and chaotic pickup, as the wedge to solve first rather than building a broad new product.
- Proposes a concrete mechanism, virtual queuing with geofenced pickup zones and app notifications, similar to patterns used at major venues.
- Addresses the driver side explicitly with a staging incentive, since driver supply is the actual bottleneck during event surges.
- Sets a measurable target as an assumption, for example cutting average post-event wait time by 30 percent at a pilot venue.
Common mistakes
- Focusing only on the rider experience and ignoring driver supply incentives, which is usually the real bottleneck.
- Proposing a broad new product without picking a specific wedge like post-event pickup chaos.
- Not defining a pilot scope or success metric before a full rollout.
Likely follow-up questions
- How would you incentivize drivers to stage near a venue before a surge hits?
- How would you pilot this before rolling out to every major venue?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop