The purpose of Quantitative Work Management (QWM) is to quantitatively manage the work to achieve the established quality and process performance objectives for the work.
The Quantitative Work Management process area involves the following activities:
- Establishing and maintaining the quality and process performance objectives for the work
- Composing a defined process for the work to help to achieve the quality and process performance objectives for the work
- Selecting subprocesses and attributes critical to understanding performance and that help to achieve the quality and process performance objectives for the work
- Selecting measures and analytic techniques to be used in quantitative management
- Monitoring the performance of selected subprocesses using statistical and other quantitative techniques
- Managing the work using statistical and other quantitative techniques to determine whether or not the objectives for quality and process performance for the work are being satisfied
- Performing root cause analysis of selected issues to address deficiencies in achieving the quality and process performance objectives
Organizational process assets used to achieve high maturity, including quality and process performance objectives, selected processes, measures, baselines, and models, are established using organizational process performance processes and used in quantitative work management processes. The work group can use organizational process performance processes to define additional objectives, measures, baselines, and models as needed to effectively analyze and manage performance. The measures, measurements, and other data resulting from quantitative work management processes are incorporated into the organizational process assets. In this way, the organization and its work groups derive benefit from assets improved through use.
The defined process for the work is a set of interrelated subprocesses that form an integrated and coherent process for work activities. The Integrated Work Management practices describe establishing the defined process for the work by selecting and tailoring processes from the organization’s set of standard processes. (See the definition of “defined process” in the glossary.)
Quantitative Work Management practices, unlike Integrated Work Management practices, help you to develop a quantitative understanding of the expected performance of processes or subprocesses. This understanding is used as a basis for establishing the defined process for the work by evaluating processes of subprocesses for the work and selecting the ones that will best achieve the quality and process performance objectives.
Establishing effective relationships with suppliers is also important to the successful implementation of this process area. Establishing effective relationships can involve establishing quality and process performance objectives for suppliers, determining the measures and analytic techniques to be used to gain insight into supplier progress and performance, and monitoring progress toward achieving those objectives.
An essential element of quantitative management is having confidence in predictions (i.e., the ability to accurately predict the extent to which the work group can fulfill its quality and process performance objectives for the work). Subprocesses to be managed through the use of statistical and other quantitative techniques are chosen based on the needs for predictable process performance.
Another essential element of quantitative management is understanding the nature and extent of the variation experienced in process performance and recognizing when actual work performance may not be adequate to achieve the quality and process performance objectives for the work.
Thus, quantitative management includes statistical thinking and the correct use of a variety of statistical techniques. (See the definition of “quantitative management” in the glossary.)
Statistical and other quantitative techniques are used to develop an understanding of the actual performance or to predict the performance of processes. Such techniques can be applied at multiple levels, from a focus on individual subprocesses to analyses that span lifecycle phases and support functions. Non-statistical techniques provide a less rigorous but still useful set of approaches that together with statistical techniques help the work group to understand whether or not quality and process performance objectives are being satisfied and to identify any needed corrective actions.
This process area applies to managing a project or set of work activities. Applying these concepts to managing other groups and functions can help to link different aspects of performance in the organization to provide a basis for balancing and reconciling competing priorities to address a broader set of business objectives.
- Quality assurance or quality control functions
- Process definition and improvement
- Internal research and development functions
- Risk identification and management functions
- Technology scouting functions
- Market research
- Customer satisfaction assessment
- Problem tracking and reporting