PMI-RMP · Question #413
The company is a risk seeking organization, and has experienced measurable success based on their current strategy for growth. A new project has an overall project risk that exceeds the risk levels…
The correct answer is B. Perform a Monte Carlo simulation to understand possible risk outcomes. Since the organization is risk-seeking and the project risk exceeds documented thresholds, the right move is not to cancel or simply monitor, but to gain a deeper quantitative understanding of the risk landscape. A Monte Carlo simulation runs thousands of scenarios using…
Question
The company is a risk seeking organization, and has experienced measurable success based on their current strategy for growth. A new project has an overall project risk that exceeds the risk levels documented in the risk management plan. What would be the best course of action for the company to take with the project based on its current scope?
Options
- AMonitor ongoing risks closely for any major changes.
- BPerform a Monte Carlo simulation to understand possible risk outcomes.
- CCancel the project, as the overall level of risk remains unacceptable.
- DConduct a stakeholder meeting to validate stakeholder risk appetite.
How the community answered
(24 responses)- A8% (2)
- B71% (17)
- C4% (1)
- D17% (4)
Explanation
Since the organization is risk-seeking and the project risk exceeds documented thresholds, the right move is not to cancel or simply monitor, but to gain a deeper quantitative understanding of the risk landscape. A Monte Carlo simulation runs thousands of scenarios using probability distributions for cost and schedule variables, producing a probability distribution of possible outcomes. This gives decision-makers concrete data-e.g., 'there is a 20% chance of exceeding budget by $2M'-enabling an informed choice about whether to proceed. Option A (monitoring) is passive and doesn't address the gap with the plan. Option C (cancel) contradicts the risk-seeking culture. Option D (stakeholder meeting to validate appetite) is premature without quantitative data in hand. A Monte Carlo simulation provides the quantitative evidence needed to make a sound risk-informed decision.
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