In a complex project, individual risks have been identified with the stakeholders.

To assess the likelihood of project success, the risk manager should use both probabilistic and quantitative risk analyses. Probabilistic analysis helps in understanding the range of possible outcomes and their probabilities, while quantitative risk analysis provides a numerical estimate of the overall risk impact on project objectives. Combining these methods gives a more comprehensive understanding of the project’s risk profile and allows the risk manager to provide an informed response regarding the likelihood of project success. PMI’s risk management standards support the use of these tools for a thorough and accurate risk assessment​​.