14 March 2019
Online webinar
  • 2019-03-14 12:30:00 2019-03-14 13:30:00 Europe/London QSRA: Introduction for risk/planning professionals and decision-makers webinar Please ensure you have booked onto this webinar via the APM website. Webinar

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Risk Management SIG

QSRA: Introduction for risk/planning professionals and decision-makers webinar

It is increasingly best practice to produce plans that utilise ranges for uncertainty and consider the probability of risks impacting the plan. Many planners have never produced a probabilistic schedule, yet it is increasingly common practice.

The goal of the webinar is to encourage more people to try this method of planning, and to do so confidently.

All projects, programmes and portfolios are inherently risky because they are unique, constrained, based on assumptions, performed by people and subject to external influences. Risks can affect the achievement of objectives either positively or negatively. Risk includes both opportunities and threats, and both should be managed through the risk management process.

The APM Body of Knowledge 6th edition reference describes QSRA as follows:
“Quantitative risk assessment focuses on overall risk and is based on more numerical approaches. Typical quantitative techniques include Monte Carlo analysis, decision trees and sensitivity analysis”

Lead presenter
Tony McDonald is a highly experienced executive consultant and risk/project manager, who has worked in a wide range of risk, project and programme management roles within both the public sector and industry.

He possesses a proven track record of significant achievements in project/programme risk management, project risk assurance and governance, project management, change management and managing people and teams.

Tony is a committee member of the APM Risk SIG.


This webinar is suitable for professionals with an intermediate level of experience.

Previous presentations and webinars can be viewed on the APM Slideshare and YouTube channels.


APM Body of Knowledge 6th edition reference

Section Description


Risk content
Risk techniques

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