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.

Risk Categorization

Systematically grouping identified risks by where they come from (e.g., via an RBS), what part of the project they could impact (e.g., via the WBS), or another meaningful grouping such as project phase, to reveal which areas carry the greatest exposure to uncertainty.

Key Points

  • Organizes risks by source (RBS), affected work/deliverables (WBS), phase, or other taxonomy to expose hotspots.
  • Directs attention, ownership, and responses to categories with the highest concentration of risk.
  • Defined in the risk management plan and applied consistently across the risk register.
  • Supports reporting with heat maps, Pareto by category, and trend analysis over time.

Example

After risk identification, the team tags each risk with RBS (technical, external, organizational), WBS element (Subsystem 1.2, Procurement Package P-03), and project phase (design, build, test). A category report shows most threats cluster in supplier-related items and the test phase, so the manager assigns a supplier risk owner and strengthens test contingency plans.

PMP Example Question

A project manager wants to find which parts of the project face the most uncertainty. What should they do first?

  1. Perform risk categorization using RBS/WBS or phase labels to group identified risks.
  2. Calculate contingency reserves using a quantitative schedule risk analysis.
  3. Apply a probability-impact matrix to rank individual risks only.
  4. Escalate all external risks to the program manager.

Correct Answer: A — Group risks into categories by source or affected area

Explanation: Risk categorization organizes risks by source, WBS element, or phase to highlight hotspots and guide targeted responses.

AI for Agile Project Managers and Scrum Masters

Become an AI-first leader and transform your agile practice by leveraging artificial intelligence as your most powerful co-pilot. This course is designed to help you drive efficiency, insight, and innovation, ensuring you stay at the forefront of a rapidly evolving project management landscape.

This isn't about replacing human intuition—it's about augmenting it. You'll master prompt engineering to automate mundane tasks, freeing up your time for high-impact strategic leadership and creative problem-solving. Learn to refine backlogs, create strategic roadmaps, and integrate AI seamlessly into your agile ceremonies.

Gain predictive power by using AI-driven insights to anticipate project risks and seize new opportunities for more reliable outcomes. We deliver practical, prompt-based workflows and proven strategies built around real-world agile challenges that you can implement immediately within your framework.

Master foundational AI concepts specifically relevant to Scrum environments while developing advanced skills to handle diverse agile scenarios. You will learn to champion an AI-enabled culture within your organization, fostering a dynamic environment of continuous improvement and superior team delivery.

Ready to lead the future of agile and make data-driven decisions that cut through complexity? Join a community of forward-thinking professionals and position yourself as an indispensable leader in the AI era. Enroll now and unlock your future!



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