Sensitivity analysis examines how variations in inputs of a model affect the outputs, providing insights into the model’s robustness and identifying critical factors influencing outcomes. By testing different scenarios, sensitivity analysis helps decision-makers anticipate potential impacts and optimize strategies in uncertain environments.