As a PM for Google Maps, how would you improve the restaurant search?

Introduction

As the VP of Product for Google Maps, improving the restaurant search feature is a critical task that directly impacts user satisfaction and engagement. I'll approach this challenge by analyzing user segments, identifying pain points, generating innovative solutions, and establishing clear metrics for success. Let's dive into the details of how we can enhance the restaurant search experience for our users.

Step 1

Clarifying Questions (5 mins)

Before we proceed, I'd like to ask a few key questions to ensure we're aligned on the scope and objectives of this improvement:

• What specific metrics are currently underperforming in the restaurant search feature?

Why this matters: Understanding the current performance helps us set clear improvement goals. Hypothetical answer: User engagement with restaurant search results has decreased by 15% over the past quarter. Impact: This would focus our efforts on improving the relevance and appeal of search results.

• Are there any particular user segments or geographic regions where we're seeing more significant issues?

Why this matters: This helps us prioritize our efforts and tailor solutions to specific user needs. Hypothetical answer: We're seeing a notable decline in engagement among urban millennials in major U.S. cities. Impact: We'd need to focus on features that appeal to this demographic, such as trending restaurants or social integration.

• What are our key differentiators from competitors in the restaurant search space?

Why this matters: This helps us maintain and enhance our competitive advantage while improving the feature. Hypothetical answer: Our strength lies in the accuracy of our location data and the volume of user reviews. Impact: We should leverage these strengths while addressing any weaknesses in our search algorithm or user interface.

• Are there any upcoming changes in Google's broader ecosystem that might affect the Maps restaurant search?

Why this matters: This ensures our improvements align with the company's overall strategy. Hypothetical answer: Google is planning to integrate more AI-driven personalization across its products. Impact: We should consider how to incorporate AI and machine learning into our restaurant search improvements.

Based on these hypothetical answers, I'll assume that our primary goal is to increase user engagement with restaurant search results, particularly among urban millennials, while leveraging our strengths in location data and user reviews. We'll also aim to incorporate AI-driven personalization into our solutions.