What is sensitivity analysis and its purpose?

What is sensitivity analysis and its purpose?

• A. Predicts future market trends based on historical data.
• B. Tests how changes in key inputs affect outputs; assesses risk.
• C. Measures the efficiency of production processes.
• D. Calculates the overall budget for a project.

Answer: (B)

Sensitivity analysis focuses on how changes in key inputs affect outputs and what that means for risk. In a business or project model, you have variables like sales volume, price, costs, or discount rate. By adjusting these inputs within realistic ranges, you see how results such as net present value, cash flow, or profitability respond. The goal is to identify which assumptions matter most, quantify risk under uncertainty, and guide decisions or prioritization of data collection and stress testing. This isn’t about predicting future market trends from historical data—that's forecasting. It isn’t about measuring production efficiency—that’s evaluating operational performance. And it isn’t about calculating the overall project budget—that’s budgeting. Sensitivity analysis specifically links input variability to output outcomes to assess risk.

Sensitivity analysis focuses on how changes in key inputs affect outputs and what that means for risk. In a business or project model, you have variables like sales volume, price, costs, or discount rate. By adjusting these inputs within realistic ranges, you see how results such as net present value, cash flow, or profitability respond. The goal is to identify which assumptions matter most, quantify risk under uncertainty, and guide decisions or prioritization of data collection and stress testing.

This isn’t about predicting future market trends from historical data—that's forecasting. It isn’t about measuring production efficiency—that’s evaluating operational performance. And it isn’t about calculating the overall project budget—that’s budgeting. Sensitivity analysis specifically links input variability to output outcomes to assess risk.