How would you define the success of IHS Markit's AutoTech forecasting solution?

Introduction

Defining the success of IHS Markit's AutoTech forecasting solution requires a comprehensive approach that considers multiple stakeholders and 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

IHS Markit's AutoTech forecasting solution is a data-driven platform designed to provide automotive industry professionals with accurate predictions and insights into emerging automotive technologies. Key stakeholders include automotive manufacturers, suppliers, investors, and industry analysts, all seeking to make informed decisions in a rapidly evolving market.

The user flow typically involves:

1. Data input and integration from various sources
2. Running advanced forecasting models
3. Generating customized reports and visualizations
4. Accessing insights through a user-friendly dashboard

This solution fits into IHS Markit's broader strategy of providing high-value, data-driven insights across multiple industries. Compared to competitors like LMC Automotive or PwC Autofacts, IHS Markit's solution likely differentiates itself through its comprehensive data sources and advanced AI-driven forecasting capabilities.

In terms of product lifecycle, the AutoTech forecasting solution is likely in the growth stage, with ongoing refinements and feature additions to meet evolving market needs.

Software-specific context:

• Platform: Likely a cloud-based solution for scalability and real-time updates
• Integration points: APIs for data ingestion from various sources and export to client systems
• Deployment model: Software-as-a-Service (SaaS) with regular updates and feature releases