10 3 Perform Qualitative Risk Analysis
10.3 Perform Qualitative Risk Analysis Explained
Perform Qualitative Risk Analysis is a critical process in project management that involves assessing identified risks to determine their potential impact and probability. This process helps in prioritizing risks for further analysis and response planning. Here, we will delve into three key concepts of Perform Qualitative Risk Analysis: Risk Probability and Impact Assessment, Risk Classification, and Risk Matrix.
1. Risk Probability and Impact Assessment
Risk Probability and Impact Assessment involves evaluating the likelihood of each identified risk occurring and the potential effect it could have on the project objectives. This assessment helps in understanding the severity of each risk and prioritizing them accordingly.
Example: For a software development project, a risk might be "Delay in delivery due to unexpected technical issues." The probability of this risk occurring could be assessed as "High" if the team has faced similar issues in the past. The impact could be assessed as "High" if delays could lead to missed deadlines and increased costs.
2. Risk Classification
Risk Classification involves categorizing risks based on their nature, source, or potential impact. This helps in organizing and managing risks more effectively. Common classifications include technical risks, external risks, organizational risks, and project management risks.
Example: In a construction project, risks might be classified as "Technical Risks" (e.g., design flaws), "External Risks" (e.g., weather delays), "Organizational Risks" (e.g., budget cuts), and "Project Management Risks" (e.g., poor scheduling).
3. Risk Matrix
A Risk Matrix is a tool used to visualize the relationship between the probability of a risk occurring and its potential impact. It helps in prioritizing risks by plotting them on a grid where the x-axis represents probability and the y-axis represents impact. Risks falling in the high probability and high impact quadrant are given the highest priority.
Example: In a marketing campaign, a risk matrix might show that a "Low response rate from target audience" has a "Medium" probability and a "High" impact. This risk would be prioritized for further analysis and response planning.