Uber Eats Product Sense: Helping Customers Find the Right Restaurant Faster

Quick Overview

A product sense question for Uber product managers about improving restaurant search in the Uber Eats app. It tests choosing a customer segment and search situation, finding pain points along the search journey, prioritizing improvements, and defining success metrics with marketplace guardrails.

Uber Eats Product Sense: Helping Customers Find the Right Restaurant Faster

Company: Uber

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are a product manager at Uber. How would you make restaurant search better? Treat this as the search experience in the Uber Eats app, where customers look for a restaurant or a dish to order. Decide which customers and which search situations to focus on, propose improvements, choose what you would build first, and explain how you would measure whether it worked. ```hint Not every search has a destination Some customers open the app already knowing the restaurant they want, while others only know a dish or a mood. Work out which kind of search fails most often before you propose features. ``` ### Clarifying Questions - Does "restaurant search" mean only the typed search box, or also the cuisine shortcuts, filters and browse lists customers use to find a place? - Should the improvement cover delivery orders only, or pickup orders as well? - Which outcome matters most here: more orders that start from search, a shorter time from first query to checkout, or fewer searches that end without an order? - Are sponsored restaurant listings in search results a constraint the design must keep? ### What a Strong Answer Covers - A goal for search tied to the Uber Eats marketplace of customers, restaurants and couriers, with a success metric that follows from it. - A chosen customer segment and search situation, with the specific pain points that segment hits from query to order. - Concrete search improvements (query understanding, ranking, result presentation, filters), prioritized with explicit criteria. - Success metrics with guardrails covering delivery time, restaurant fairness and search latency. - Risks and trade-offs, such as relevance versus sponsored placement. ### Follow-up Questions - Your top improvement raises search conversion, but average delivery time rises because customers now pick restaurants farther away. What do you do? - How would you evaluate a new ranking approach offline before exposing it to customers in an A/B test? - How should search treat a newly opened restaurant that has no order history yet?

Overview: A product sense question for Uber product managers about improving restaurant search in the Uber Eats app. It tests choosing a customer segment and search situation, finding pain points along the search journey, prioritizing improvements, and defining success metrics with marketplace guardrails.

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Uber
Sep 25, 2025
mediumProduct ManagerOtherProduct Design & Strategy
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You are a product manager at Uber. How would you make restaurant search better? Treat this as the search experience in the Uber Eats app, where customers look for a restaurant or a dish to order. Decide which customers and which search situations to focus on, propose improvements, choose what you would build first, and explain how you would measure whether it worked.

Clarifying Questions Guidance

  • Does "restaurant search" mean only the typed search box, or also the cuisine shortcuts, filters and browse lists customers use to find a place?
  • Should the improvement cover delivery orders only, or pickup orders as well?
  • Which outcome matters most here: more orders that start from search, a shorter time from first query to checkout, or fewer searches that end without an order?
  • Are sponsored restaurant listings in search results a constraint the design must keep?

What a Strong Answer Covers Guidance

  • A goal for search tied to the Uber Eats marketplace of customers, restaurants and couriers, with a success metric that follows from it.
  • A chosen customer segment and search situation, with the specific pain points that segment hits from query to order.
  • Concrete search improvements (query understanding, ranking, result presentation, filters), prioritized with explicit criteria.
  • Success metrics with guardrails covering delivery time, restaurant fairness and search latency.
  • Risks and trade-offs, such as relevance versus sponsored placement.

Follow-up Questions Guidance

  • Your top improvement raises search conversion, but average delivery time rises because customers now pick restaurants farther away. What do you do?
  • How would you evaluate a new ranking approach offline before exposing it to customers in an A/B test?
  • How should search treat a newly opened restaurant that has no order history yet?