Product design question

How would you solve the problem of having more than 6 people ride requests for Lyft?

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 an edge-case group-size problem within an existing rideshare product, given real supply constraints.

Clarify the constraint: standard rideshare vehicles cap around 4 to 6 passengers, so larger groups don't fit a single normal request today.
Identify the user: larger groups, families, friend outings, events, currently forced into multiple separate rides, adding cost and coordination friction.
Prioritize a 'split into linked rides' solution over requiring a completely new vehicle class, since larger vehicles aren't available everywhere.
Propose a group-ride mode that automatically requests and coordinates two or more vehicles simultaneously, syncing pickup timing and a combined price and ETA view.
Where available, surface a larger-capacity option, like an XL or van partner, as a fallback in cities with that supply.
Define success as completion rate of group requests, all sub-rides successfully matched, and time-to-match versus manually booking separate rides.

Recognizes the real supply constraint, limited large-vehicle availability, and designs a fallback, linked multi-vehicle rides, that works everywhere.
Proposes a concrete coordination mechanism, synced pickup and combined pricing view, rather than just 'let people book more rides.'
Ties success to a measurable coordination outcome, successful multi-ride matching, the actual hard part of this problem.

Assuming larger vehicles, like vans, are universally available, which isn't realistic across most markets.
Ignoring the coordination and synchronization problem of multiple simultaneous rides.

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