Which analytical technique involves decision trees?

The analytical technique that involves decision trees is decision analysis. Decision trees are graphical representations of possible solutions to a decision based on different conditions. They allow analysts to visually map out various decision paths, show potential outcomes, and evaluate the implications of different choices. By using decision trees, managers can assess risks, quantify uncertainties, and make more informed decisions based on a structured analysis of various alternatives and their potential consequences.

In decision analysis, decision trees help clarify complex decision-making situations where multiple factors and potential outcomes exist, making them a powerful tool in strategic planning and operational decision-making. Other techniques, like data mining, focus on discovering patterns and relationships within large data sets; root cause analysis aims to identify underlying causes of problems; and SWOT analysis is used for evaluating strengths, weaknesses, opportunities, and threats related to a project or business. These methods do not specifically utilize decision trees as a framework for analyzing decisions.