A technique that studies how changes in the values of estimated parameters affect an alternative’s desirability. Parameters where small changes in estimated values cause larger changes in desirability are said to be more sensitive. Sensitivity analysis guides the decision maker in identifying the estimated parameters that deserve more careful study to make sure those estimates are accurate.