Summary

Evaluate the effect of implemented actions on process performance.

Description

Refer to the Quantitative Work Management (QWM) (CMMI-SVC) process area for more information about selecting measures and analytic techniques.


Once the changed process is deployed across the work group, the effect of changes is evaluated to verify that the process change has improved process performance.

Example Work Products



  1. Analysis of process performance and change in process performance


Subpractices



1. Measure and analyze the change in process performance of the affected processes or subprocesses for the work.

This subpractice determines whether the selected change has positively influenced process performance and by how much.

 

An example of a change in the process performance of a service would be a change in the predicted ability of the design to meet the quality and process performance objectives.

Another example would be a change in the cost of delivering the service after a change in the subprocess for integrating revised service system components. This change in performance would be determined through monitoring the delivered service before and after the improvement has been made and comparing these differences statistically (e.g., through hypothesis testing). 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 quality and process performance objectives for the work.

This subpractice determines whether the selected change has positively influenced the ability of the work group 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 benefits.