These questions must be answered before the solution is implemented in the field. There are several ways to do this. The makes sense to the decision maker. Solutions obtained by quantitative studies may not be predictable, but they are not often very surprising. Other testing procedures include sensitivity analysis, the use of the model under a variety of conjectured conditions including a range of parameter values, and the use of the model with historical data.