Quadrupling Uber's Grocery Delivery Adoption: Funnel Math and Growth Levers
Company: Uber
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager at Uber. How would you grow adoption of Uber's grocery delivery offering fourfold?
```hint Turn 4x into factors
A fourfold jump rarely comes from one lever. Pin down what "adoption" counts, write it as a product of a few funnel steps, and ask how much each step would have to move.
```
### Clarifying Questions
- How should adoption be measured: monthly active grocery customers, the share of Uber users who have ever ordered groceries, or grocery order volume?
- Over what period should adoption quadruple, and in which markets?
- Should growth come mainly from people who already use Uber for rides or restaurant delivery, from new customers, or both?
- Is changing supply in scope, such as signing more retailers or expanding delivery areas, or only the customer experience?
### What a Strong Answer Covers
- A precise definition of adoption and a decomposition that shows how the 4x target could be reached.
- A diagnosis of where the funnel leaks, from awareness to first order to repeat use, and of supply limits such as store selection, item availability and delivery coverage.
- Levers across demand, supply and fulfillment quality, prioritized and sized against the target.
- Metrics and guardrails covering order quality, unit economics and the effect on restaurant delivery.
- Trade-offs such as discount-driven trial against lasting repeat use.
### Follow-up Questions
- A first-order promotion doubles trial, but the share of new customers still ordering two months later falls. What do you look at, and what do you change?
- Grocery orders grow, but the same customers order fewer restaurant meals. Is that a problem?
- Which single number would you report to leadership every week, and why that one?
Overview: A product growth question that asks how a PM would quadruple adoption of Uber's grocery delivery offering. It tests defining adoption precisely, breaking the 4x target into funnel factors, diagnosing demand and supply barriers, prioritizing levers, and choosing metrics with guardrails for quality, economics and cannibalization.