Risk Mitigation

A risk response approach in which the project team takes actions to lower the likelihood that a threat will happen or to reduce its impact.

Key Points

  • Focuses on negative risks (threats) by reducing their probability, impact, or both.
  • Implemented through proactive measures documented in the risk response plan.
  • Assigns a risk owner and monitors residual and secondary risks after actions are taken.
  • Different from avoidance (eliminate the threat), transfer (shift it to a third party), and acceptance (acknowledge with minimal action).

Example

A key component might arrive late, threatening the schedule. The project manager adds a schedule buffer, negotiates earlier shipment, and qualifies an alternate supplier to reduce the chance and effect of a delay.

PMP Example Question

A performance risk could delay go-live if the system cannot handle peak load. The team schedules early load testing, optimizes code, and configures autoscaling. Which risk response is being used?

  1. Avoidance
  2. Mitigation
  3. Transfer
  4. Acceptance

Correct Answer: B — Mitigation (reduce likelihood or impact of a threat)

Explanation: The team is taking proactive steps to lower the chance and potential impact of the performance issue, which is mitigation.

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.

Learn alongside professionals around the world working in project leadership and delivery.

Explore the Course


Stop Managing Admin. Start Leading the Future!

HK School of Management helps you learn AI prompt engineering for project work. Move beyond status reports and risk logs with practical prompt frameworks for everyday tasks. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

Enroll Now