What is sensitivity analysis primarily used for?

Sensitivity analysis is primarily used as a technique to assess how the different values of an independent variable impact a particular dependent variable under a given set of assumptions. This approach is crucial in decision-making processes because it allows managers to predict the potential outcomes of various decisions based on changes in key inputs. For instance, by altering variables such as sales volume, costs, or price levels, sensitivity analysis helps in understanding how these changes can affect overall results like profit or loss.

In contrast, the other choices focus on distinct aspects of business and management that do not align with the primary aim of sensitivity analysis. Evaluating market trends and consumer behavior pertains to market research, while measuring employee performance falls under human resource management. On the other hand, short-term budgeting may utilize various financial planning tools, but it is not specifically tailored to understanding the impacts of variable ranges on financial outcomes.