Lyft: Judging Whether Driver Supply Meets Delivery Demand by Zone and Hour
Quick Overview
A Lyft product question on marketplace balance: how to tell whether there are enough drivers for the deliveries requested in a given area and time window. It tests two-sided metric design, estimating and forecasting required supply, separating shortages from positioning problems, and choosing levers when balance breaks.
Lyft: Judging Whether Driver Supply Meets Delivery Demand by Zone and Hour
Company: Lyft
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are a product manager at Lyft. How would you tell whether there are enough drivers to handle the number of deliveries being requested in a particular area at a particular time? Describe what you would measure, how you would define "enough," and how the answer would feed into decisions.
```hint Two sides of one market
A shortage and a surplus each hurt someone. Think about what each one looks like from the requester's side and from the driver's side.
```
### Clarifying Questions
- What counts as a delivery here: passenger rides, food or package orders, or all of them?
- Is this a city where Lyft already operates and has history, or a market that has not launched yet?
- Is the question about balance in the next few minutes, or about planning driver supply days and weeks ahead?
- How small is an "area": a neighborhood-sized zone, or a whole city?
### What a Strong Answer Covers
- A two-sided definition of "enough" with a target experience for requesters and a healthy level of busy time or earnings for drivers.
- Specific marketplace metrics tracked per zone and time window, separating early warning signals from outcomes.
- A way to estimate the drivers needed from demand and time per trip, and to forecast that need ahead of time.
- Telling a true shortage apart from drivers being in the wrong place or from a matching problem.
- The levers used when balance breaks, and how to test them when both groups share one market.
### Follow-up Questions
- City-wide wait times look fine, but one neighborhood has long waits every Friday night. How do you tell a shortage from a distribution problem?
- Higher prices during a shortage stop some people from requesting at all. How do you measure the demand you never saw?
- How would you test a new driver incentive when drivers in the test and control groups compete for the same requests?
Overview: A Lyft product question on marketplace balance: how to tell whether there are enough drivers for the deliveries requested in a given area and time window. It tests two-sided metric design, estimating and forecasting required supply, separating shortages from positioning problems, and choosing levers when balance breaks.
You are a product manager at Lyft. How would you tell whether there are enough drivers to handle the number of deliveries being requested in a particular area at a particular time? Describe what you would measure, how you would define "enough," and how the answer would feed into decisions.
Clarifying Questions Guidance
What counts as a delivery here: passenger rides, food or package orders, or all of them?
Is this a city where Lyft already operates and has history, or a market that has not launched yet?
Is the question about balance in the next few minutes, or about planning driver supply days and weeks ahead?
How small is an "area": a neighborhood-sized zone, or a whole city?
What a Strong Answer Covers Guidance
A two-sided definition of "enough" with a target experience for requesters and a healthy level of busy time or earnings for drivers.
Specific marketplace metrics tracked per zone and time window, separating early warning signals from outcomes.
A way to estimate the drivers needed from demand and time per trip, and to forecast that need ahead of time.
Telling a true shortage apart from drivers being in the wrong place or from a matching problem.
The levers used when balance breaks, and how to test them when both groups share one market.
Follow-up Questions Guidance
City-wide wait times look fine, but one neighborhood has long waits every Friday night. How do you tell a shortage from a distribution problem?
Higher prices during a shortage stop some people from requesting at all. How do you measure the demand you never saw?
How would you test a new driver incentive when drivers in the test and control groups compete for the same requests?