Quantitative Process Management involves developing and managing the business development process through a well-defined system of metrics, internal/external quality feedback, and quality management initiatives.
It is possible only when accurate data exists. If quantitative process management is conducted when data's reliability is not ensured, adverse effects can be caused by the false management activities. That is why so many methods have been studied to analyze reliability of collected data.

The quantitative process management is based on:

• the organization's strategic goals for product quality, productivity, and product development cycle time
• the organization's measurement program
• the organization's standard software process
• the project's goals for the software product's quality, productivity, and product development cycle time
• the measured performance of other projects' defined software processes
• the description of the project's defined software process

The metrics management process ensures that the project’s performance is monitored and necessary corrective/preventive actions are taken on time. All relevant data for estimation, requirement changes, risks, lessons learnt and the associated metrics are stored in a process database, which readily gives these details to the projects across the organization. The Software Process Engineering Group (SEPG) defines and sets up metrics goals for the organization. Project performance is continuously monitored against these goals. Following is a sampling of some of the metrics, which are prepared and analyzed for all projects undertaken by Espire.

By using Quantitative Process Management techniques for measuring and analyzing variations in the production or service delivery process, Espire knows when to take corrective action and when to simply leave the process alone, thereby managing operational risks in a cost-effective manner.