How to Get a Job For Project Managers

Learn how to write resume and interview

Leadership for Project Managers

Learn how to lead and drive project success.

Project Management Bootcamp

From a beginner to project management professional.

Agile Project Management and SCRUM with AI

Learn to run Scrum and Agile with AI.

Double Loop Learning

A disciplined way of questioning and testing the underlying values and assumptions behind actions to uncover true root causes and craft better countermeasures, rather than treating only the symptoms.

Key Points

  • Goes beyond quick fixes by examining the beliefs, rules, and policies that drive behavior.
  • Used in retrospectives and postmortems to reach root causes and design systemic changes.
  • Requires psychological safety so team members can challenge assumptions without blame.
  • Often results in updates to workflows, definitions of done, policies, and decision criteria.

Example

During a sprint retrospective, a team keeps missing integration targets. Instead of adding more buffer or extra testing (a surface fix), they question their working agreements and Definition of Done. They discover that integrating only at the end of the sprint and having separate code branches are core assumptions causing the delays. The team changes policy to integrate daily, adopts trunk-based development, and pairs on merge conflicts. The misses drop significantly in the next release.

PMP Example Question

A Scrum team repeatedly experiences production defects. The Scrum Master proposes challenging the teams Definition of Done, testing strategy, and release policy to uncover root causes before choosing fixes. What approach is the Scrum Master using?

  1. Single-loop learning focused on quick corrective actions
  2. Double loop learning that questions underlying assumptions and policies
  3. Updating the lessons learned register only
  4. Issuing a change request to add more testers

Correct Answer: B — re-examining underlying assumptions to fix root causes

Explanation: Double loop learning explicitly challenges governing values and assumptions to identify and address systemic causes, not just symptoms.

Advanced Lean Six Sigma — Data-Driven Excellence

Solve complex problems, reduce variation, and improve performance with confidence. This course is designed for professionals who already know the basics and want to apply advanced Lean Six Sigma tools to real business challenges.

This is not abstract statistics or theory-heavy training. You’ll use Excel to perform real analysis, interpret results correctly, and apply tools like DMAIC, SIPOC, MSA, hypothesis testing, and regression without memorizing formulas or relying on expensive software.

You’ll learn how to measure baseline performance, analyze process capability, use control charts to maintain stability, and validate improvements using statistical evidence. Templates, worked examples, and structured walkthroughs help you apply each concept immediately.

Learn through a complete, real-world Lean Six Sigma project and develop the skills to lead data-driven improvements with credibility. If you’re ready to move beyond basics and make decisions backed by data, enroll now and take your Lean Six Sigma expertise to the next level.



Stop Managing Admin. Start Leading the Future!

HK School of Management helps you master AI-Prompt Engineering to automate chaos and drive strategic value. Move beyond status reports and risk logs by turning AI into your most capable assistant. Learn the core elements of prompt engineering to save hours every week and focus on high-value leadership. For the price of lunch, you get practical frameworks to future-proof your career and solve the blank page problem immediately. Backed by a 30-day money-back guarantee-zero risk, real impact.

Enroll Now