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Product Management Analytics Question: Measuring success of Aurora's self-driving core feature using key metrics

Asked at Aurora

12 mins

how would you measure the success of aurora's aurora core feature?

Product Success Metrics Hard Member-only
Metric Definition Stakeholder Analysis Strategic Thinking Automotive Technology Transportation
Product Analytics Success Metrics Autonomous Vehicles KPIs Aurora

Introduction

Measuring the success of Aurora's Aurora Core feature requires a comprehensive approach that considers multiple stakeholders and metrics. To effectively evaluate this product success metrics problem, I'll follow a structured framework covering 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.

Step 1

Product Context (5 minutes)

Aurora Core is a key feature of Aurora, a self-driving technology platform developed by Aurora Innovation. It's the central nervous system of Aurora's autonomous driving system, integrating perception, planning, and control modules to enable safe and efficient autonomous operation.

Key stakeholders include:

  • End users (passengers, fleet operators)
  • Automotive partners (OEMs)
  • Regulators and safety agencies
  • Aurora's engineering and product teams
  • Investors and shareholders

User flow:

  1. Vehicle initialization: Aurora Core boots up and performs system checks
  2. Perception: Sensors gather data about the environment
  3. Planning: Core processes sensor data and plans optimal route
  4. Control: Core sends commands to vehicle systems for execution
  5. Continuous monitoring: Core adapts to changing conditions in real-time

Aurora Core fits into Aurora's broader strategy of developing a scalable, universal autonomous driving platform that can be integrated into various vehicle types across multiple use cases.

Compared to competitors like Waymo and Cruise, Aurora Core emphasizes flexibility and adaptability across different vehicle platforms and operational domains.

Product Lifecycle Stage: Aurora Core is in the growth stage, with ongoing refinement and expansion of capabilities as it's deployed in more diverse environments and vehicle types.

Software-specific context:

  • Platform: Runs on specialized hardware with real-time operating systems
  • Integration points: Interfaces with vehicle systems, cloud infrastructure, and fleet management tools
  • Deployment model: Over-the-air updates for continuous improvement and new feature rollout

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