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 with AI

From a beginner to project management professional.

Agile Project Management and SCRUM with AI

Learn to run Scrum and Agile with AI.

Scrum Principles

The six essential, non-negotiable principles that anchor Scrum and guide how teams deliver value: Empirical Process Control, Self-Organization, Collaboration, Value-based Prioritization, Time-boxing, and Iterative Development.

Key Points

  • Empirical Process Control: work is made transparent, inspected often, and adapted based on evidence.
  • Self-Organization and Collaboration: cross-functional teams coordinate closely with stakeholders to achieve goals.
  • Value-based Prioritization: order the backlog to maximize customer value and manage risk early.
  • Time-boxing and Iterative Development: fixed-length sprints create frequent, usable increments for feedback.

Example

A Scrum Team runs two-week sprints (Time-boxing), delivers a working increment each time (Iterative Development), reviews it with stakeholders (Collaboration), and reorders the Product Backlog to focus on the highest-value items (Value-based Prioritization). They use transparent sprint metrics and adapt their plan after each review and retrospective (Empirical Process Control), with the team deciding how to do the work (Self-Organization).

PMP Example Question

Which action best demonstrates Empirical Process Control within the Scrum Principles?

  1. Freezing scope for the entire release to prevent change.
  2. Running time-boxed sprints, making progress transparent, and adjusting the backlog after reviews.
  3. Having the project manager assign daily tasks to each developer.
  4. Prioritizing backlog items alphabetically to reduce debate.

Correct Answer: B — Empirical Process Control

Explanation: Empirical Process Control relies on transparency, inspection, and adaptation; time-boxed sprints with visible progress and regular backlog adjustments exemplify this principle.

AI-Prompt Engineering for Strategic Leaders

Stop managing administration and start leading the future. This course is built specifically for managers and project professionals who want to automate chaos and drive strategic value using the power of artificial intelligence.

We don't teach you how to program Python; we teach you how to program productivity. You will master the AI-First Mindset and the 'AI Assistant' model to hand off repetitive work like status reports and meeting minutes so you can focus on what humans do best: empathy, negotiation, and vision.

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Move from being an administrative manager to a high-value strategic leader. Future-proof your career today with practical, management-focused AI workflows that map to your real-world challenges. Enroll now and master the language of the future.

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Build the Sprint Reporting System, Not Another Prompt

AI Systems with Claude is our own course for Scrum Masters and Agile Project Managers, taught against one running project across eight teaching sections. You build five working systems and keep them: the sprint report machine, the retro intelligence system, the stakeholder comms engine, the backlog health monitor, and the risk and dependency tracker. Direct from HK School of Management, not on Udemy.

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