Qualitative risk assessment evaluates risks using descriptive, experience-based metrics. It typically categorizes likelihood and impact using labels like High, Medium, or Low, or a numeric scale from 1 to 5. [1, 2]
Managing Subjectivity and Cognitive Bias
Because qualitative scoring relies on human judgment, it can be distorted by cognitive biases:
- Availability Bias: The tendency to overestimate the likelihood of risks that occurred recently or are easy to remember.
- Anchoring Bias: Relying too heavily on the first piece of information encountered when evaluating a risk rating.
- Groupthink: When a risk workshop team reaches consensus without critically challenging assumptions due to social pressure.
To minimize these biases, risk managers use detailed Risk Criteria Definitions. These descriptors provide concrete examples for every score tier, ensuring different assessors apply ratings consistently across the enterprise.
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