Reduce how long customers queue to collect takeout orders at a busy restaurant

Quick Overview

A product problem-solving question about a restaurant whose pickup customers face long lines, asking how to reduce their wait. It tests defining the wait, diagnosing whether orders are late, handoffs are slow or arrivals bunch up, prioritizing operational and product fixes, and measuring success with guardrails.

Reduce how long customers queue to collect takeout orders at a busy restaurant

Company: Meta

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You run a restaurant, and the people who come in to collect pickup orders are now standing in long lines. How would you bring their wait time down? Walk through how you would understand the problem, the changes you would make, and how you would know they worked. ```hint Split the wait into pieces Before proposing fixes, break the time a person spends in the store into the parts it is made of, and work out which part has grown. Different parts call for very different fixes. ``` ### Clarifying Questions - Are people in line to place and pay for orders, or to collect orders they already placed online or by phone? - Who stands in the pickup line: customers collecting their own food, couriers from delivery apps, or both? - Through which channels do pickup orders arrive: the restaurant's own app or website, phone calls, third-party delivery apps? - Is the line there all day or only at peak hours, and did it appear after a change such as more orders or fewer staff? ### What a Strong Answer Covers - A clear goal and definition of the wait (for example, from arrival to having the order in hand), with a baseline before any fix. - A diagnosis that separates the causes: orders not ready on arrival, slow handoff at the counter, arrivals bunched at peaks, and kitchen capacity. - Fixes mapped to each cause for both customers and couriers, mixing operational and product changes and prioritized by impact and effort. - Success metrics for the wait, with guardrails on order volume, food quality, order accuracy and staff load. ### Follow-up Questions - Honest ready-time quotes mean telling some customers to come later. How do you keep that from costing you orders? - At dinner, couriers from delivery apps make up most of the line. What changes in your plan? - Demand varies by weekday and hour. How would you tell whether a change actually shortened the wait?

Overview: A product problem-solving question about a restaurant whose pickup customers face long lines, asking how to reduce their wait. It tests defining the wait, diagnosing whether orders are late, handoffs are slow or arrivals bunch up, prioritizing operational and product fixes, and measuring success with guardrails.

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Meta
Aug 9, 2025
mediumProduct ManagerOtherProduct Design & Strategy
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You run a restaurant, and the people who come in to collect pickup orders are now standing in long lines. How would you bring their wait time down? Walk through how you would understand the problem, the changes you would make, and how you would know they worked.

Clarifying Questions Guidance

  • Are people in line to place and pay for orders, or to collect orders they already placed online or by phone?
  • Who stands in the pickup line: customers collecting their own food, couriers from delivery apps, or both?
  • Through which channels do pickup orders arrive: the restaurant's own app or website, phone calls, third-party delivery apps?
  • Is the line there all day or only at peak hours, and did it appear after a change such as more orders or fewer staff?

What a Strong Answer Covers Guidance

  • A clear goal and definition of the wait (for example, from arrival to having the order in hand), with a baseline before any fix.
  • A diagnosis that separates the causes: orders not ready on arrival, slow handoff at the counter, arrivals bunched at peaks, and kitchen capacity.
  • Fixes mapped to each cause for both customers and couriers, mixing operational and product changes and prioritized by impact and effort.
  • Success metrics for the wait, with guardrails on order volume, food quality, order accuracy and staff load.

Follow-up Questions Guidance

  • Honest ready-time quotes mean telling some customers to come later. How do you keep that from costing you orders?
  • At dinner, couriers from delivery apps make up most of the line. What changes in your plan?
  • Demand varies by weekday and hour. How would you tell whether a change actually shortened the wait?