What metrics would you use to evaluate Otis's CompassPlus destination management system?

Introduction

Evaluating the success of Otis's CompassPlus destination management system requires a comprehensive approach to product metrics. To address this product success metrics challenge effectively, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Otis's CompassPlus is an advanced destination management system designed for elevators in high-rise buildings. It uses artificial intelligence to optimize elevator traffic, reduce wait times, and improve overall building efficiency.

Key stakeholders include:

• Building owners/managers: Seeking improved efficiency and tenant satisfaction
• Elevator passengers: Desiring shorter wait times and smoother rides
• Maintenance teams: Requiring easy system management and diagnostics
• Otis sales team: Needing a competitive edge in the market

User flow:

1. Passenger approaches elevator bank and selects destination
2. CompassPlus calculates optimal elevator assignment
3. Passenger is directed to specific elevator
4. System continuously adjusts assignments based on real-time demand

CompassPlus fits into Otis's broader strategy of leveraging technology to maintain market leadership in the elevator industry. Compared to competitors like KONE's Destination Control System, CompassPlus boasts more advanced AI capabilities and integration with building management systems.

Product Lifecycle Stage: CompassPlus is in the growth stage, with increasing adoption in new construction and retrofits of existing buildings.

Software considerations:

• Platform: Cloud-based with edge computing components
• Integration: Connects with building management systems and IoT sensors
• Deployment: Hybrid model with on-premise controllers and cloud-based analytics