Quality Assurance

An ongoing practice of reviewing and improving the processes, methods, and standards that guide quality management on a project, ensuring they remain suitable and effective. These activities are integrated into the day-to-day work.

Key Points

  • Focuses on the quality of processes and standards, not on inspecting finished deliverables (that is quality control).
  • Performed continuously during execution and embedded in regular team activities.
  • Common techniques include audits, process reviews, checklists, and retrospectives.
  • Leads to preventative improvements, such as updating procedures, standards, or the team's Definition of Done.

Example

Mid-sprint, a Scrum team reviews its testing and code review workflow. A process audit finds inconsistent peer reviews and flaky tests. The team updates the Definition of Done to require peer review, improves CI checks, and revises coding standards to prevent defects.

PMP Example Question

During an iteration, the team evaluates whether its test and code review process still aligns with organizational standards and updates the Definition of Done accordingly. What is this an example of?

  1. Quality assurance
  2. Quality control
  3. Validate Scope
  4. Plan Quality Management

Correct Answer: A — Quality assurance

Explanation: The scenario describes assessing and improving processes and standards during the work. Quality control inspects outputs, Validate Scope accepts deliverables, and Plan Quality Management establishes the approach before execution.

Project Management with AI: From Initiation to Closing

Build a practical project management process from initiation to closing with our Project Management: From Initiation to Closing with AI course. Learn how to move from informal project coordination to a structured, repeatable approach using PMBOK-aligned workflows, real examples, and professional templates.

This hands-on course follows a complete project lifecycle. You will learn how to write a project charter, define scope, build a work breakdown structure, develop a schedule, estimate costs, manage risks, engage stakeholders, execute the work, monitor performance, and close the project properly.

You will also learn how to use AI tools to accelerate project management work. The course includes reusable prompts, downloadable templates, assignments, and worked examples that show how project documents connect from one stage to the next.

The course is designed for professionals, team leads, coordinators, analysts, and new project managers who need practical skills they can apply at work. Enroll now and build the confidence to manage projects with structure, clarity, and control.

Explore the Course


Become an AI-First Agile Leader!

HK School of Management empowers you to master AI as your most powerful co-pilot—without the complexity. Transform your agile leadership with practical, prompt-based workflows and proven strategies designed for real-world scrum challenges. For the price of lunch, you get the tools to automate mundane tasks, refine backlogs with precision, and drive unprecedented efficiency in your team. Backed by our 30-day money-back guarantee—zero risk, real impact.

Learn More