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Metricsstandard

Food delivery orders are flat, but average delivery time rose by 8 minutes. How do you dig in?

How to approach it

Break delivery time into its stages: restaurant prep, waiting for a courier, and the trip itself.

How a strong answer opens

“Delivery time is several stages added together: restaurant prep, waiting for a courier, pickup and the drive. I'd break it down to find which stage grew.”

Outline of a strong answer

Try answering out loud for a few minutes before you open this.

  1. Confirm the change and its timing
  2. Break delivery time into prep, courier assignment, pickup wait, travel
  3. Find which stage grew
  4. Segment by city, restaurant type, time of day
  5. Look for causes: fewer couriers, new batching logic, traffic, restaurant backlogs
  6. Name the risk if unfixed (repeat orders fall later) and propose actions

Where this question usually goes wrong

Treating delivery time as one number and guessing at causes instead of breaking it into stages to see where the eight minutes came from.

Learn the method

Diagnosing a metric drop in Module 2, Metrics and execution.

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