ABSTRACT
Forecasting an return on investment (ROI) is becoming essential in the measurement and evaluation scheme. This chapter explores the four most likely time frames when forecasting can be conducted, as well as the most credible sources of forecast data and the strengths and weaknesses of forecasting. Unfortunately, the ease, convenience, and low cost of capturing a forecasted ROI creates trade-offs in accuracy and credibility. The data is presented to the management team with a variety of scenarios that calculate the projected ROI based on the different estimations. This scenario involves the following five steps: Postprogram evaluation of a pilot program provides much more accurate information on which to base decisions about fully implementing the program. When reaction data includes participants' planned application of the training, this important data can ultimately be used in forecasting ROI. The chapter illustrates that ROI forecasts can be developed within different time frames.
