This work supports a process called Predictive Evaluation (PE) which enables practitioners to provide executives with compelling training data around the success of training in the three areas of Intention, Adoption, and Impact. PE also works to determine whether success has been achieved, and provides lead indicators of future adoption (transfer of learning) along with recommendations for continuous improvement. The way to think about this model is that predicting is before-the-fact to decide if to train; evaluating is after-the-fact measurement against the predictions. There are four ways that the PE approach differs from other models in the field: Whereas traditional approaches focus on costs and numbers, not on forecasting financial return, PE focuses on the predicted impact and its value-add to the organization Whereas traditional approaches view evaluation as after-the-fact with no measures of success, PE employs repeated measures that mirror employees’ path...

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