Select subprocesses of the project’s defined process to be statistically managed.

Selecting subprocesses to be statistically managed is often a concurrent and iterative process of identifying applicable project and organization quality and process-performance objectives, selecting subprocesses, and identifying process and product attributes to measure and control. Often the selection of a process, quality and process-performance objective, or measurable attribute will constrain the selection of the other two. For example, if a particular process is selected, measurable attributes and quality and process-performance objectives may be constrained by that process.

Typical Work Products

1.    Quality and process-performance objectives to be addressed by statistical management

2.    Criteria used in selecting which subprocesses will be statistically managed

3.    Subprocesses to be statistically managed

4.    Identified process and product attributes of selected subprocesses that should be measured and controlled

Subpractices

1.    Identify which of the project’s quality and process-performance objectives will be statistically managed.

2.    Identify criteria to be used in selecting subprocesses that are the main contributors to achieving identified quality and process-performance objectives and for which predictable performance is important.

3.    Select subprocesses to be statistically managed using selection criteria.

It may not be possible to statistically manage some subprocesses (e.g., where new subprocesses and technologies are being piloted). In other cases, it may not be economically justifiable to apply statistical techniques to certain subprocesses.

4.    Identify product and process attributes of selected subprocesses to be measured and controlled.