The analysis currently being used is qualitative risk analysis. Qualitative risk analysis involves assessing risks based on their likelihood of occurrence and their potential impact on the project. This type of analysis can help identify biases that may be impacting how team members perceive risks.

Qualitative risk analysis is the process of prioritizing individual project risks for further analysis or action by assessing their probability of occurrence and impact as well as other characteristics. Qualitative risk analysis helps to identify the most significant risks that require attention and response planning. One of the tools and techniques used in qualitative risk analysis is risk data quality assessment, which evaluates the degree to which the data about individual project risks is useful for risk management. Risk data quality assessment considers various aspects of data quality, such as reliability, accuracy, integrity, precision, and bias. Bias is the tendency of human judgment to be influenced by personal or organizational preferences, assumptions, beliefs, or emotions, rather than by objective facts or evidence. Bias can affect how project team members perceive and assess risks, leading to inaccurate or incomplete risk analysis results. Therefore, the risk manager who realizes the project team members have biases impacting how they perceive risks is currently using qualitative risk analysis to prioritize the risks and assess the quality of risk data. References: PMI, Practice Standard for Project Risk Management, 2009, p. 37-38, 41-42.