Predictive Evaluation Model

Predictive Evaluation is the first and only training evaluation approach that adds the element of prediction . Using the Predictive Evaluation Model developed by Dave Basarab, trainers and business leaders can successfully predict training’s results, value, intention, adoption and impact, allowing them to make smarter, more strategic training and evaluation investments.

The Predictive Evaluation Model is a practical step-by-step training evaluation process that begins where most other evaluations stop. It’s unique because it: Adds the element of prediction to training evaluations, and is the first training evaluation model to do so. Requires student participation, making employees feel invested and engaged throughout the process. Provides recommendations for continuous improvement. Predicts the quantifiable impact of training to forecast training investments, results, and ROI. Can be used with existing or new courses and works equally well with classroom-based training, on-the-job training, on-line learning, workshops, etc. Is appropriate for content across all industries and departments. Is suitable for staff at all levels.

Success Stories

Dave Basarab has succeeded in identifying a realistic way to evaluate training. Having the three elements: Intention Evaluation, Adoption Evaluation, and Impact Evaluation, gives the training community the ability to measure training’s effectiveness throughout the process.  Dave’s background focusing on evaluation at Motorola with its continuous improvement/six sigma culture has enabled him to strive to find a real solution to the evaluation of training in a corporate setting. The challenges we all have had to face when attempting a ROI model are addressed in Dave’s book. I found Predictive Evaluation engaging, practical, and insightful. I plan on encouraging my staff in using this model for our evaluation activities.

Charleen Allen, Director, Global Learning & Development
Baker Hughes, Inc.