Metrics question
What is the most important metric for Uber Eats? Why?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Ability to pick and defend a single north star metric for a three sided marketplace of eaters, restaurants, and couriers.
How to approach it
- State the business model, Uber Eats connects eaters, restaurants, and couriers, and success requires balance across all three.
- Propose a candidate north star, completed orders per active eater per month, since it reflects real repeat demand.
- Explain why this beats alternatives like GMV or restaurant count, which can rise without reflecting real habit.
- Note the guardrails needed alongside it, courier earnings per hour and on time delivery rate.
- Acknowledge the trade off, focusing narrowly on one metric can hide problems on the other two sides.
What a strong answer includes
- Picks a specific, defensible metric, orders per active eater per month, over vague ones like growth or revenue.
- Explains the reasoning clearly, it captures habit formation, which predicts long term retention better than one time spikes.
- Pairs it with named guardrails, courier pay per hour and delivery time, showing awareness of the three sided marketplace.
Common mistakes
- Naming GMV or revenue as the most important metric with no explanation of why it can mislead.
- Ignoring the courier and restaurant sides of the marketplace entirely.
- No guardrail metrics mentioned alongside the chosen north star.
Likely follow-up questions
- How would you weigh this metric differently for a new city versus a mature market?
- What would make you change your mind about this being the right metric?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop