Qualitative Risk Analysis
Assessing risk impact and probability qualitatively.
Qualitative Risk Analysis is a foundational process in project risk management that assesses risks based on their probability and impact using predefined scales rather than numerical values. This process prioritizes risks for further analysis or action by evaluating their likelihood of occurrence and potential effects on project objectives. The primary tool used in Qualitative Risk Analysis is the Probability and Impact Matrix, which categorizes risks based on their severity. Risks with high probability and high impact receive the highest priority, while those with low probability and low impact receive the lowest priority. Key components of Qualitative Risk Analysis include: 1. Risk probability assessment - evaluating the likelihood of each risk occurring 2. Risk impact assessment - determining the potential effect on project objectives 3. Risk data quality assessment - examining the accuracy and reliability of risk data 4. Risk categorization - grouping risks by sources or project areas 5. Risk urgency assessment - identifying risks requiring near-term responses The process typically involves stakeholder interviews, expert judgment, facilitated workshops, and review of historical data from similar projects. The output is a prioritized risk register that helps project managers focus attention and resources on the most critical risks. Qualitative Risk Analysis precedes Quantitative Risk Analysis (which uses numerical values) and informs the Plan Risk Responses process. It's particularly valuable early in projects when detailed information may be limited. This process should be conducted regularly throughout the project lifecycle as new risks emerge and existing risks evolve. The results guide management attention, inform contingency planning, and support efficient resource allocation across the project risk landscape.
Qualitative Risk Analysis is a foundational process in project risk management that assesses risks based on their probability and impact using predefined scales rather than numerical values. This pro…
Concepts covered: Risk Categorization, Expert Judgment, Assumptions Analysis, Risk Urgency Assessment, Risk Probability and Impact Assessment, Risk Breakdown Structure, Risk Appetite and Risk Thresholds, Probability and Impact Matrix, Risk Data Quality Assessment, Risk Prioritization, Assumptions and Constraints Analysis
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