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Project Controls Open Standard · Module 4 of 6 · M4

Risk & Uncertainty

Learning modules M4.1 Risk Identification & Assessment; M4.2 Qualitative Risk Analysis; M4.3 Quantitative Risk Analysis; M4.4 Risk Response & Control; M4.5 Contingency & Uncertainty.
5 learning modulesRead M4 in the Open Standard text209 discussions25 knowledge pages

Learning modules

In Risk & Uncertainty

  1. M4.13 items

    Risk Identification & Assessment

    By the end of this section, the learner should be able to establish a disciplined risk-identification process that finds, frames and records uncertainty before it is scored or modelled. They should be able to distinguish risks from issues, assumptions, dependencies, decisions and actions; write clear cause–event–consequence statements; identify both threats and opportunities; use several complementary identification techniques; connect each material uncertainty to project objectives and control data; assign accountable ownership; recognise triggers and early-warning indicators; and create a risk record that is sufficiently clear and traceable for the next stage of analysis and response.

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  2. M4.22 items

    Qualitative Risk Analysis

    The learner should be able to take identified risks and assess them systematically so that management attention focuses on what matters. They should be able to assess probability and impact, apply a scoring framework, use a matrix appropriately, consider other relevant factors, prioritise risks, challenge unsupported scoring, recognise bias and false precision, distinguish inherent and residual exposure where relevant, and translate the analysis into action.

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  3. M4.3211 items

    Quantitative Risk Analysis

    By the end of this section, the learner should be able to take a defined project objective, a credible current schedule or cost model, and a selected set of material uncertainties and turn them into a transparent quantitative view of possible outcomes. They should be able to distinguish deterministic dates and costs from probability distributions, decide which risks and sources of variability should be modelled, develop defensible ranges and event assumptions, understand the purpose of Monte Carlo simulation, interpret confidence levels and probability-of-success outputs, identify the uncertainties that drive the result, and use scenario analysis to support a management decision.

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  4. M4.41 items

    Risk Response & Control

    By the end of this section, the learner should be able to turn an analysed threat or opportunity into a controlled management response that is proportionate, owned, time-bound and integrated with the way the project is actually delivered. They should be able to distinguish a response strategy from the actions that implement it, choose an appropriate strategy, define preventive and contingent actions, assign ownership, integrate actions into schedule, cost, procurement and governance, monitor triggers and action effectiveness, reassess residual exposure, identify secondary risk, and escalate when the response is no longer adequate.

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  5. M4.5203 items

    Contingency & Uncertainty

    By the end of this section, the learner should be able to establish, explain, govern and reassess cost and schedule provision for uncertainty without hiding it inside the base plan. They should be able to distinguish base budget or duration from contingency and, where the organisation uses it, management reserve; connect provision to qualitative and quantitative risk evidence; select a confidence or governance basis; decide where contingency should be held; define ownership, drawdown and release rules; track consumption separately from performance; and judge whether the remaining provision is still proportionate to the remaining exposure.

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    1 knowledge202 discussions

Discussions

Latest across the module

  1. 0replies
    Would you share an anonymised P6 programme to help verify a schedule-risk engine?
    Schedule Risk and Schedule Risk Analysisby Tony Wright· 4 months ago
  2. 0replies
    Probabilistic Chain Analysis (PCA) — A Framework for Running Projects in a Probabilistic World
    Schedule Risk and Schedule Risk Analysisby Nikhil Dhand· 5 months ago
  3. 5replies
    Whats the best monte carlo schedule analysis tool for microsoft project
    Schedule Risk and Schedule Risk Analysisby David Jackson· 2 years ago
  4. 34replies
    Project risk analysis software
    Schedule Risk and Schedule Risk Analysisby Duncan Burns· 2 years ago
  5. 6replies
  6. 1reply
    Multiple imports of risks to Primavera P6
    Schedule Risk and Schedule Risk Analysisby Dejan Kezic· 2 years ago
  7. 2replies
    Software - Safran Risk, @Risk, Predict!
    Schedule Risk and Schedule Risk Analysisby Matthew Leung· 2 years ago
  8. 2replies
    Monte Carlo Simulation Challenges
    Schedule Risk and Schedule Risk Analysisby Alex Lyaschenko· 3 years ago

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