Manage Quality Process in the PMP Exam

 There are distinct processes, quality norms, and performance standards in every organization. We adjust quality management rules to the project by conducting audits in accordance with the quality management plan, identifying processes that do not work efficiently, and anticipating possible quality errors. Quality principle in PMBOK specifies and guides us how to build quality into processes and deliverables and this process is conducted according to this principle.

When working through the Manage Quality process, it is possible to implement quality enhancements and continually improve the project throughout its life cycle. Getting feedback from the team, stakeholders, and vendors as well as being able to process the feedback is essential to creating a successful project. In the control quality process, quality control measurements are taken to verify the accuracy of the work completed in the manage quality process.

Outputs

This gives rise to three outputs at the conclusion of the process. These are;
  • Quality reports: It shows the current status of the project regarding quality. A typical report shows the quality-related deficiencies, their resolution method, resolution actions, the money spent on quality, and preventative and corrective measures.
  • Test and evaluation documents: As part of the manage quality process, we need to make a note of our observations and the related forms, checklists, and documents we will be filling out in the control quality process.
  • Change requests: Since we will encounter many corrective and preventive measures along the way to the end of the process, it is only natural that it will be an output.

Inputs

  • Quality management plan: Quality management plan is an important part of the project management plan that is required for this process to be completed. Using it will guide us on the quality management approach to use for the process of managing quality.
  • Quality metrics: They consist of specific components of quality measurement, specific quality measures, measurement methods, and thresholds.
  • Quality control measurements: This feedback is taken from the control quality process. Thanks to measurements from our quality control measures, we can now look into those and evaluate them so that we can revise our system for managing quality.
  • Risk report in project management: Incorporates project-level risks as well as summaries of risks that must be considered while making quality adjustments.
  • Lessons learned register: Lessons learned register provides useful data which can be utilized in this process.
  • Organizational process assets: Your organization's already-in-place quality assurance policies, procedures, and guidelines.
  • Lessons learned repository.

Tools & Techniques

  • Checklists: You should review this checklist as a way of keeping track of what you need to assess.
  • Alternatives analysis: It is used to figure out the best options related to quality of the project.
  • Document analysis: The process involves analyzing all project documents so far and extracting useful information about the project's quality.
  • Process analysis: It evaluates all processes, looks for and notices any areas of improvement in the process, in terms of quality or otherwise.
  • PMP Root cause analysis: Particularly in a situation where there's a quality problem and you're trying to determine its origin, an experimental approach is typically more straightforward than blindly deliberating over it.
  • PMP Multicriteria decision analysis: Using a decision matrix and the logic that follows to make a decision.
  • Affinity diagrams: Quality-related issues are grouped according to their logical relationships.
  • Cause-and-effect diagrams in pmp: As with root cause analysis, it aims to identify the underlying causes of quality-related issues.
  • Audits: This is the tool typically used in the quality assurance process. It can be carried out by an independent auditor to check if the processes comply with the quality requirements.
  • Design for X: Design for X (D4X) is a philosophy of design that centers around producing innovative solutions to solve a specific issue.
  • Flowcharts in PMP: They can help you envision your project, find and fix any problems, before they arise.
  • Histograms: Statistical analysis and project management can both benefit from histograms. For instance, histograms can help you comprehend your data, anticipate problems, and make the best decisions.
  • Matrix diagrams: Matrix diagrams are used in project management to display the logical relationships between project elements.
  • Scatter diagrams: It demonstrates the extent of the relationship between two variables.
  • Problem solving: An effective project management means being able to identify, diagnose and solve problems. In order to accomplish this, project managers must be able to solve problems.