
Define risk as potential events that may positively or negatively affect a project, distinguish it from issues, and learn to reduce threats while increasing opportunities by assessing probability and impact.
learn the risk management process from planning to monitoring, identify risks, perform qualitative and quantitative analyses, score risks, plan responses, and track triggers.
Plan the risk management process by defining stakeholders, responsibilities, timing, and budget for risk analysis. Develop the risk management plan with procedures, approaches, and internal and external risk categorization.
Identify and manage project risks with a systematic, proactive approach from work breakdown structure to activities, addressing safety hazards, change orders, site conditions, and material availability.
Apply project risk management by categorizing external, internal, and technical risks, with external split into unpredictable and predictable, and analyze each risk by its cause, event, and impact.
Identify project risks using checklists, expert interviews, what-if scenarios, brainstorming, and SWOT analysis, distinguishing internal strengths and weaknesses from external opportunities and threats.
Assess risks through qualitative analysis by scoring likelihood and impact, calculating a risk score, and prioritizing extreme and high-probability risks using a green, yellow, orange, and red scale.
Learn how to use the risk score matrix to decide which risks to accept and which to move to the total project risk, using thresholds like 10% or 15%.
Move high risks from qualitative to quantitative analysis to numerically assess impacts and determine risks requiring a response, with quantified probabilities such as 75% to finish in nine months.
Explore schedule uncertainty in project risk management by turning quantity, crew, and productivity into duration, then use two-point and three-point estimates with triangular and beta distributions.
Explore triangle distribution and beta distribution to estimate project duration by averaging optimistic, most likely, and pessimistic values, and apply the results to risk analysis with a 75% completion chance.
Use triangle and beta distributions to refine project duration estimates, showing how an example yields about 20.2 days instead of exactly 20 and highlights schedule uncertainty across many activities.
Register risks as threats or opportunities, then analyze them through pre-mitigation, mitigation, and post-mitigation stages, evaluating probability and impact on schedule, cost, and performance.
Explore the distribution analyzer tool in project risk management, showing how risk registers and mitigation affect cost and schedule through cumulative s-curve analysis, post-mitigation savings, and risk scores.
In project risk management, the tornado diagram visualizes the magnitude of risks in descending order to identify the most sensitive activities so you can mitigate them and save money.
Plan risk responses by applying avoid, mitigate, transfer, and accept strategies for threats, and exploit, enhance, share, or accept opportunities; use the risk register as a guide.
Identify residual risk, which remains after risk responses, and secondary risk, which arises from implementing those responses, and learn to address both in project risk management.
In project risk management, create a contingency plan with specific actions to mitigate, avoid, or transfer risks, and a fallback plan for residual or secondary risks.
Learn how to set contingency and management reserves to protect project profit and schedule, accounting for known unknown residual risks and unknown unknowns while updating cost budgets and critical path.
This course will be covering all about the risk management process starting from the planning, identifying your risks and categorizing your risks in your project and the techniques for identifying risks in risk management. This course will cover the two analysis processes in risk management qualitative and quantitative analysis.
In qualitative we will learn about how to determine your risk score or risk index by using probability and the impact of each risk so that we could grade them on the risk matrix scale to see which risks require a response. We will also cover the quantitative risk analysis process to further analyze the risks that have moved forward. We will look at sensitivity analysis to know about the tornado diagram. Schedule and cost uncertainty will be covered and we’ll talk about triangular distribution and beta distribution.
We will learn how Monte Carlo simulation uses all this information to estimate the possible outcomes of an uncertain event. You’ll learn about the distribution graph and the distribution analyzer and how to read your project outcomes from these graphs. We will then cover planning risk responses to all your risks and how to monitor and control them and what should your outcomes after doing risk management be.