Which statement about qualitative risk assessment is most accurate?

• A. It uses numerical probabilities and financial values
• B. It relies on extensive historical data
• C. It yields precise, numeric risk scores
• D. It uses subjective ranks and expert judgment when data is limited

Answer: (D)

The main idea is that qualitative risk assessment relies on subjective judgment and categorization when data is scarce. It depends on expert opinions, discussions, and relative rankings (for example, Low/Medium/High) to gauge both how likely a risk is and how severe its impact could be, rather than computing exact numbers. This approach is especially useful when there isn’t enough reliable historical data or when a quick, collaborative assessment is needed.

That’s why the statement about using subjective ranks and expert judgment when data is limited is the best fit. It captures the essence of qualitative methods—describing risk in qualitative terms rather than forcing precise probabilities or monetary values.

In contrast, statements that emphasize numerical probabilities, financial values, extensive historical data, or precise numeric risk scores describe quantitative approaches. Those methods rely on data and calculations to produce exact numbers, not the flexible, judgment-based categorization that qualitative assessment uses.