Metrics question
Suppose you are PM at Zomato. You understand that people in an office eat together. They order from different restaurants, leading to each order getting delivered at different times. Sometimes it causes bad experience for customers as they have to receive the orders multiple times. How would you solve this problem?
- Cars24
- Metrics
- Hard
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What this question tests
Tests product design for a coordination problem across a marketplace: synchronizing multiple independent restaurant orders into one delivery experience.
How to approach it
- Clarify scope: confirm this is about office group orders where people pick different restaurants but want one combined delivery, not separate couriers arriving apart.
- Identify the core job: the group wants one predictable delivery moment so everyone eats together, not staggered arrivals.
- Propose a Group Order mode: one shared cart link, each person picks a restaurant, checkout batches sub-orders and computes a common ready time.
- Address the constraint: restaurants cook at different speeds, so prep start times must be staggered toward a common pickup window.
- Weigh the trade-off: waiting for the slowest restaurant hurts food quality for faster ones, so cap the sync window and flag restaurants outside it.
- Define success: reduction in multi-delivery incidents for group orders, and delivery-time spread across items in one group order.
What a strong answer includes
- Names Group Order as a concrete opt-in flow tied to a shared link, not a vague promise to sync deliveries.
- Addresses the real constraint (different prep times) with a specific mechanism: staggered prep starts against a common pickup window.
- Sets an explicit cap on the sync window, showing awareness that waiting has a food-quality cost.
- Proposes a measurable metric (delivery-time spread) that directly captures the original complaint.
Common mistakes
- Proposing only a logistics fix (one delivery partner) without addressing that restaurants cook at different speeds.
- Ignoring the quality trade-off of holding faster orders back to sync with slower ones.
Likely follow-up questions
- How would you handle a restaurant excluded for being outside the sync window?
- What would you do if one restaurant runs late and breaks the sync?
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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