Metrics question
If you were the Senior PM at Uber, how would you define the metrics and north star of your team before leaving for a 2-month break?
- Uber
- Metrics
- Hard
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What this question tests
Metrics ownership and delegation judgment: can you set up a metric system robust enough that a team can run independently without you for two months.
How to approach it
- Define the north star clearly so the team has no ambiguity while you are gone, for example completed trips per active rider, capturing both demand and supply health.
- Break it into a small set of supporting metrics the team checks weekly: driver acceptance rate, rider wait time, and cancellation rate, since these are leading indicators of the north star.
- Set explicit guardrail thresholds in advance, for example wait time should not exceed a stated number of minutes, so the team knows when to escalate without you.
- Document decision rules for common scenarios, like what to do if cancellation rate spikes, so the team is not paralyzed waiting for your input.
- Assign clear ownership of each metric to a specific team member before you leave, so nothing falls through by default.
- Set up a lightweight async reporting cadence, like a weekly written update, so you can catch up quickly on return without daily involvement.
What a strong answer includes
- Focuses on making the team self sufficient, not just picking good metrics, since the actual test is operating without you.
- Sets explicit guardrail thresholds and decision rules in advance, reducing the need for real time judgment calls.
- Assigns individual ownership per metric, a concrete delegation step many answers skip.
Common mistakes
- Listing metrics without addressing how the team operates and decides without you for two months.
- No predefined thresholds or decision rules, leaving the team stuck on judgment calls only you could normally make.
Likely follow-up questions
- What would you want the team to escalate to you even while you are away?
- How would you catch up efficiently when you return?
More metrics questions
- Late deliveries lead to customer churn. What data we should look at to prove this hypothesis for a food delivery app?PayPal · Metrics · Medium
- Which metrics would you track for Uber Pool during the first 6 months after product launch?Uber · Metrics · Medium
- Uber has seen a dip in the ride confirmation rate. As a PM at Uber, you are responsible to investigate and fix the issue. How will you go about it?Uber · Metrics · Hard
- How would you describe and assess how the Uber Marketplace (the matching platform) is doing, for UberX?Uber · Metrics · Hard
- How would reduce cancellations for Uber?Shopify · Metrics · Medium
- What is the most important metric for Uber Eats? Why?Uber · Metrics · Medium
More questions from Uber
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