You are the project manager of the CUL project in your organization. You and the project team are assessing the risk events and creating a probability and impact matrix for the identified risks. Which

A qualitative risk analysis aims to provide an objective assessment of risks, and therefore, it actively discourages biased data, as bias would compromise the integrity and usefulness of the analysis.

While stakeholders have varying risk tolerances, the *data* used in the analysis should strive for impartiality; requiring 'biased risk tolerances' for the data itself is incorrect as it would undermine the assessment's validity.

A qualitative risk analysis relies on subjective assessments of risk probability and impact, but for its results to be credible and provide accurate insights, the underlying data and expert judgments must be as accurate and unbiased as possible.

While obtaining fast and simple data can be desirable for efficiency, the primary requirement for a credible qualitative risk analysis is the accuracy and lack of bias in the data, not just its speed or simplicity.