7.7 Control Quality

7.7 Control Quality
Inputs Tools & Techniques Outputs

Replace this with term.

Purpose & When to Use

Control Quality confirms that project outputs meet specified requirements. It uses inspection, measurement, and testing to find defects, verify fixes, and provide objective evidence of conformance. Use it throughout delivery, especially when work packages complete, before handing items to customer acceptance.

Mini Flow (How It’s Done)

  • Prepare: gather quality metrics, acceptance criteria, sampling plan, and test procedures.
  • Inspect and test: perform checks, measurements, or trials on work results and deliverables.
  • Record findings: log defects, variances, and measurement data using checklists or check sheets.
  • Analyze: use basic statistics and charts to spot trends, outliers, and root causes.
  • Correct and re-test: request rework, verify fixes, and confirm compliance with metrics.
  • Output and communicate: produce verified deliverables, measurement results, change requests, and updates to plans and lessons learned.

Quality & Acceptance Checklist

  • Applicable quality metrics and tolerances are identified and current.
  • Test or inspection methods are defined, repeatable, and tools are calibrated.
  • Sampling approach and acceptance criteria are documented and followed.
  • All checks are executed; results and evidence are recorded and traceable.
  • Defects are logged with severity, location, and responsible owner.
  • Rework is completed and verified; failed items are not released.
  • Recurring or systemic issues undergo root cause analysis and actions are captured.
  • Configuration item identity matches the version tested and approved.
  • Verified deliverables and measurement summaries are prepared for customer acceptance.
  • Change requests, updates to the quality plan, and lessons learned are submitted as needed.

Common Mistakes & Exam Traps

  • Mixing up Control Quality and Validate Scope: Control Quality is internal conformance checks; Validate Scope is customer or sponsor acceptance.
  • Confusing Manage Quality with Control Quality: Manage Quality improves the process and plans; Control Quality measures outputs and finds defects.
  • Relying on 100% inspection when statistical sampling would be sufficient and cost-effective.
  • Ignoring trends or special-cause variation on charts; passing items that show unstable process behavior.
  • Failing to submit change requests for preventive or corrective actions discovered during testing.
  • Not keeping objective evidence (records, logs, measurements), which weakens acceptance and audits.
  • Skipping re-verification after rework or not updating configuration status.

PMP Example Question

You completed inspections on a deliverable, logged defects, and after rework it meets all specified metrics. What should you hand off next for formal acceptance?

  1. Approved change requests.
  2. Verified deliverable and measurement results.
  3. Updated risk register.
  4. Lessons learned updates.

Correct Answer: B — Verified deliverable and measurement results.

Explanation: Control Quality produces verified deliverables and objective evidence of conformance, which are then presented in Validate Scope for formal acceptance.

Agile Project Management & Scrum — With AI

Ship value sooner, cut busywork, and lead with confidence. Whether you’re new to Agile or scaling multiple teams, this course gives you a practical system to plan smarter, execute faster, and keep stakeholders aligned.

This isn’t theory—it’s a hands-on playbook for modern delivery. You’ll master Scrum roles, events, and artifacts; turn vision into a living roadmap; and use AI to refine backlogs, write clear user stories and acceptance criteria, forecast with velocity, and automate status updates and reports.

You’ll learn estimation, capacity and release planning, quality and risk management (including risk burndown), and Agile-friendly EVM—plus how to scale with Scrum of Scrums, LeSS, SAFe, and more. Downloadable templates and ready-to-use GPT prompts help you apply everything immediately.

Learn proven patterns from real projects and adopt workflows that reduce meetings, improve visibility, and boost throughput. Ready to level up your delivery and lead in the AI era? Enroll now and start building smarter sprints.



Advance your Lean Six Sigma expertise!

HK School of Management helps you take Lean Six Sigma to the next level—without the overwhelm. Master advanced statistical tools, Excel-based analysis, and real-world improvement techniques to solve complex problems with confidence. For the price of lunch, you get practical templates, guided examples, and hands-on project experience you can use immediately at work. Backed by our 30-day money-back guarantee—zero risk, real impact.

Learn More