QPM.SP 1.3 Select Subprocesses and Attributes
Summary
Select subprocesses and attributes critical to evaluating performance and that help to achieve the quality and process performance objectives for the work.
Description
Some subprocesses are critical because their performance significantly influences or contributes to achieving the objectives for the work. These subprocesses may be good candidates for monitoring and control using statistical and other quantitative techniques as described in the first specific practice of the second specific goal.
Also, some attributes of these subprocesses can serve as leading indicators of the process performance to expect of subprocesses that are further downstream and can be used to assess the risk of not achieving the objectives for the work (e.g., by using process performance models).
Subprocesses and attributes that play such critical roles may have already been identified as part of the analyses described in the previous specific practice.
For small projects, and circumstances in which subprocess data may not be generated frequently enough in a work activity to support a sufficiently sensitive statistical inference, it may still be possible to understand performance by examining process performance across similar iterations, teams, or work activities.
Example Work Products
- Criteria used to select subprocesses that are key contributors to achieving the objectives for the work
- Selected subprocesses
- Attributes of selected subprocesses that help in predicting future work performance
Subpractices
1. Analyze how subprocesses, their attributes, other factors, and performance results of the work relate to each other.
A root cause analysis, sensitivity analysis, or process performance model can help to identify the subprocesses and attributes that most contribute to achieving particular performance results (and variation in performance results) or that are useful indicators of future achievement of performance results.
2. Identify criteria to be used in selecting subprocesses that are key contributors to achieving the quality and process performance objectives for the work.
- There is a strong correlation with performance results that are addressed in the objectives for the work.
- Stable performance of the subprocess is important.
- Poor subprocess performance is associated with major risks to the work.
- One or more attributes of the subprocess serve as key inputs to process performance models used for the work.
- The subprocess will be executed frequently enough to provide sufficient data for analysis.
3. Select subprocesses using the identified criteria.
Historical data, process performance models, and process performance baselines can help in evaluating candidate subprocesses against selection criteria.
4. Identify product and process attributes to be monitored.
These attributes may have been identified as part of performing the previous subpractices.
Attributes that provide insight into current or future subprocess performance are candidates for monitoring, whether or not the associated subprocesses are under the control of the work group. Also, some of these same attributes may serve other roles, (e.g., to help in monitoring progress and performance of the work as described in Work Monitoring and Control [WMC]).
- Effort consumed to perform the subprocess
- The rate at which the subprocess is performed
- Percentage compliance to the service level agreement
- Response time
- Resource or materials consumed as input to the subprocess
- Skill level of the staff member performing the subprocess
- Quality of the work environment used to perform the subprocess
- Volume of outputs of the subprocess (e.g., intermediate work products)
- Quality attributes of outputs of the subprocess (e.g., reliability, testability)