Metrics question

How do you increase the volume of breakfast orders for Uber Eats?

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

Metrics and growth thinking: identifying specific demand and supply levers for a time-of-day usage pattern.

Clarify the goal: increase breakfast order volume specifically, distinct from lunch and dinner demand.
Identify demand-side barriers: users may not think of Uber Eats for breakfast, or restaurant selection is weak in the morning.
Identify supply-side barriers: fewer restaurants open or willing to deliver breakfast items early.
Propose levers: targeted morning promotions, breakfast-specific restaurant partnerships, and push notifications timed to typical breakfast hours.
Define success as breakfast order volume and repeat morning ordering rate.

Distinguishes demand-side and supply-side barriers, since both restaurant availability and user habit matter for breakfast specifically.
Proposes a concrete supply fix, like recruiting cafes and bakeries not previously on the platform for morning hours.
Proposes a concrete demand fix, like a limited-time morning discount to build habitual ordering.
Uses an assumed metric, e.g. targeting a 20 percent increase in 7 to 10am order volume within a quarter.

Proposing only demand-side promotions and ignoring restaurant supply constraints in the morning.
Treating breakfast the same as lunch or dinner with no distinct strategy.
Not defining a clear metric to measure the specific breakfast-time impact.

How would you recruit more breakfast-focused restaurants onto the platform?
How would you measure whether a promotion created lasting habit versus one-time usage?
What would you do if supply remains the binding constraint after your fixes?