Which analysis technique assesses how changes in one factor influence another?

Sensitivity analysis is a technique that examines how the variation in the output of a model can be attributed to different variations in its inputs. It essentially focuses on identifying how changes in one specific factor or input can affect another variable in the system, often in terms of outcomes or performance metrics.

For instance, in the context of facility management, if one were to change the budget allocated for maintenance, sensitivity analysis would help assess how that change might influence overall facility satisfaction or operational efficiency. This method is particularly valuable in risk management and decision-making processes because it allows managers to pinpoint which factors have the most significant impact on results and prepare accordingly.

The other analysis techniques have different focuses: SWOT analysis evaluates strengths, weaknesses, opportunities, and threats; variance analysis measures deviations from expected outcomes; and ratio analysis examines relationships between financial figures. While these other methods provide valuable insights, they do not specifically assess the impact of changes in one variable on another, which is the core function of sensitivity analysis.