Evaluate the effect of implemented actions on process performance.
Once the changed process is deployed across the project, the effect of changes is evaluated to verify that the process change has improved process performance.
Example Work Products
- Analysis of process performance and change in process performance
1. Measure and analyze the change in process performance of the project’s affected processes or subprocesses.
This subpractice determines whether the selected change has positively influenced process performance and by how much.
Another example would be a change in the defect density of the design documentation, as statistically measured through peer reviews before and after the improvement has been made. On a statistical process control chart, this change in process performance would be represented by an improvement in the mean, a reduction in variation, or both.
Statistical and other quantitative techniques (e.g., hypothesis testing) can be used to compare the before and after baselines to assess the statistical significance of the change.
2. Determine the impact of the change on achieving the project’s quality and process performance objectives.
This subpractice determines whether the selected change has positively influenced the ability of the project to meet its quality and process performance objectives by understanding how changes in the process performance data have affected the objectives. Process performance models can aid in the evaluation through prediction of impacts and return on investment.
3. Determine and document appropriate actions if the process or subprocess improvements did not result in expected project benefits.