sensitivity research

Sensitivity research involves studying how changes in input variables affect the outcomes of a model or system. It helps identify which factors most influence results, guiding decision-making and ensuring robustness. For example, in financial modeling, sensitivity analysis shows how changes in interest rates or costs impact profit. By exploring different scenarios and parameter variations, it helps understand uncertainties, prioritize data collection, and improve confidence in predictions or strategies. Essentially, it’s a way to test how sensitive a system is to different conditions and to better understand the reliability of its outcomes.