Imagine you are a PM of Uber's search map. How would you calculate its success?

Introduction

Calculating the success of Uber's search map is crucial for optimizing the user experience and driving business growth. To approach this product success metrics problem effectively, I will follow a simple product success metric framework. I'll cover core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Uber's search map is a core feature of the Uber app, allowing users to input their destination and view available ride options. Key stakeholders include riders, drivers, and Uber itself.

User flow:

1. Open app and access search map
2. Input destination
3. View ride options and prices
4. Select preferred ride type
5. Confirm pickup location and request ride

The search map is critical to Uber's strategy of providing convenient, reliable transportation. It competes with similar features in apps like Lyft and traditional taxi services.

As a mature product in the growth stage, the focus is on optimizing performance and expanding use cases.

Software-specific context:

• Integrates with multiple data sources (maps, traffic, driver locations)
• Real-time updates and calculations
• Cross-platform compatibility (iOS, Android, web)