Defining success metrics for Uber Freight's shipper and carrier marketplace
Company: Uber
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are a product manager at Uber and are asked how you would measure the success of Uber Freight. For context, Uber Freight is the company's logistics business: a two-sided marketplace in which shippers, the businesses that need loads moved, book truck capacity from carriers, the trucking companies and owner-operators who haul those loads, with quoting and booking handled digitally instead of through phone calls to a broker. Explain what success should mean for this product and which metrics you would use to track it.
```hint Test candidates on both sides
Shippers and carriers want different things from Uber Freight, and how often they use it varies widely with their size. Check each metric you consider by asking whether it could keep rising while shippers lose trust in the service or carriers stop finding the work worth taking.
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### Clarifying Questions
- Should the metrics cover the whole freight marketplace, or one surface such as the carrier mobile app or the web tool shippers use to tender and track loads?
- What stage should I assume the business is in: still taking share from traditional freight brokers, or focused on making an established load volume profitable?
- Which shippers matter most for this assessment: smaller businesses booking one-off spot loads, or large enterprises moving freight on contracted lanes?
- Is carrier health (earnings, loyalty, how quickly they are paid) part of the success definition, or treated only as a constraint on shipper growth?
### What a Strong Answer Covers
- A short statement of the product's mission and the value each side receives, used to pick a success goal that fits the stage the business is in.
- One north-star metric with a defended rationale: how it reflects value to both shippers and carriers, whether it moves at a useful cadence given how unevenly shippers book, and why it beats the alternatives considered.
- Supporting metrics that cover shipper demand, carrier supply and how efficiently the marketplace matches the two.
- Guardrails on service quality and unit economics, each tied to a specific way the north star could be inflated or gamed.
- A plan for segmenting and reading the metrics over time that separates product impact from outside forces moving freight volumes and rates.
### Follow-up Questions
- Booked loads are growing quickly while margin per load is falling. How do you decide whether that is healthy?
- How would you tell whether growth on a lane is limited by shipper demand or by carrier supply?
- The number of active shippers is flat but loads per shipper keeps rising. What does that tell you, and what would you check next?
Overview: Product metrics question about defining success for Uber Freight, the two-sided marketplace that matches shippers with trucking carriers. It tests turning the value each side gets into one defensible north-star metric, choosing supporting metrics and guardrails, and reading them against swings in the freight market.