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.

Predicting Training’s Value

When we predict training’s value , we use a form of business forecasting—estimating what training will deliver in terms of increased organizational and business results. These predictions come in the form of participant Intentions , Adoption in the workplace, resulting Impact on the business, and the costs to deliver the value. These predictions enable decision makers to make highly informed, proactive decisions .

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Intention Evaluation

An Intention Evaluation addresses the following question: Are participant goals and beliefs upon course completion aligned with desired goals?

Intention Goals are the planned actions that we want participants to author during training as their personal transfer plan. If training is working as designed, participants should be writing actions that drive desired adoptive behaviors back into their everyday work patterns.

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Adoption Evaluation

An Adoption Evaluation addresses the following question: How much of the training has been implemented on the job and successfully integrated into the participant’s work behavior?

Adoption Evaluation measures participant goal completion rate against the defined Adoption Rate created when you predicted training’s value. Data is collected on the success that participants have had in transferring their goals to the workplace, results are analyzed and compared to the Adoption Rate, and an Adoption Dashboard is produced to report findings. If needed, corrective actions are put in place to improve adoption.

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Impact Evaluation

Impact Evaluation is identifying the direct impact on – and value to – the business that can be traced to training. It assesses in quantifiable terms the value of the training by assessing which Adoptive Behaviors have made a measurable difference. Impact evaluation goes beyond assessing the degree to which participants are using what was learned; it provides a reliable and valid measure of the results of the training to the organization.

When participants report a positive impact from training, this approach allows you to articulate how and why training is impacting the business, leveraging this information to enhance the organizational impact of future deliveries. Conversely, when little or no impact is found, this evaluation method uncovers why and determines what can be done to remedy that undesirable outcome.

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Predictive Evaluation Dashboards

In Predictive Evaluation, we share our findings using the dashboard concept. The dashboard is a report to senior management providing an at-a-glance perspective on the current status of a course in the context of predetermined metrics for that program (Intention, Adoption, or Impact). Our dashboards are simple, short, and do not require interpretation.

The dashboard allows managers and executives to examine and assess training success. They facilitate discussion by highlighting metric status points, encouraging management by exception, where deviations from the norm become the focal points of discussion. Those course evaluation metrics should be established early in course design and applied as the course is delivered, transfer occurs, and organizational impact occurs.

Success Stories

By utilizing Predictive Evaluations, my organization has been able to measure and prove the specific value of our training, as well as define the ultimate bottom-line business outcomes. Through this model, we are enabled to enhance our training during the design and delivery phases to optimize and gain the desired results. This book is a must read for anyone looking to analyze the cost/ benefit and justify training for an organization!

Melodi Ramirez Tripp , Director Engineering Planning & Administration
BNSF Railway Company