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Product Management Metrics Question: Lyft app health dashboard with key performance indicators

If you were the PM for Lyft, what dashboard would you build to track the health of the app?

Product Success Metrics Medium Member-only
Metric Definition Data Analysis Strategic Thinking Transportation Technology Gig Economy
User Engagement Data Analysis Product Metrics Dashboard Design Ride-Sharing

Introduction

To effectively track the health of Lyft's app, I'll develop a comprehensive dashboard that provides actionable insights across key performance areas. This approach will cover core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy, and strategic initiatives.

Step 1

Product Context

Lyft is a ride-sharing platform that connects passengers with drivers through a mobile app. The app serves as the primary interface for both riders and drivers, facilitating ride requests, payments, and communication.

Key stakeholders include:

  1. Riders: Seeking convenient, affordable transportation
  2. Drivers: Looking for flexible income opportunities
  3. Lyft (company): Aiming to grow market share and profitability
  4. Regulators: Ensuring safety and fair practices

User flow:

  1. Rider opens app, enters destination, and requests ride
  2. Nearby drivers receive request and can accept
  3. Rider tracks driver's arrival and trip progress
  4. Payment is processed automatically upon completion

Lyft's strategy focuses on expanding market share, improving operational efficiency, and exploring new mobility solutions. The app is crucial for executing this strategy and differentiating from competitors like Uber.

Compared to Uber, Lyft has positioned itself as a more driver-friendly and socially conscious alternative. However, the core functionality of both apps is similar.

Product Lifecycle Stage: Maturity. Lyft's app is well-established but continues to evolve with new features and optimizations to maintain competitiveness.

Software-specific context:

  • Platform: Native iOS and Android apps with web support
  • Integration points: Payment processors, mapping services, communication systems
  • Deployment model: Frequent updates through app stores, with server-side feature flags for gradual rollouts

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