Welcome and thank you for visiting our website. We are passionate measurement and evaluation of learning experts with over 35+ years’ experience helping organizations craft measurement and evaluation strategies and tactics. We’ve had the honor of working with dedicated corporate learning and development teams all over the world to help them develop valid, scientifically sound Level 1, 2, 3, and 4 evaluations.
Our founder, Ken Phillips, is also the creator and chief architect of the Predictive Learning Analytics™ (PLA) learning evaluation methodology. PLA is a revolutionary new way to increase the value of a company's learning and development investment by measuring, monitoring, and managing the amount of scrap learning associated with a particular learning program.
One- and two-day training workshops —
ideal for up-skilling corporate L&D teams
What is arguably the #1 issue facing the L&D profession today? The answer: "Scrap Learning." If you are not familiar with the term, it's the gap created when training is delivered but not applied back on the job. It's a critical business issue because it wastes time and money, two scarce organization resources. It also threatens your credibility and the credibility of the L&D profession.
In this highly interactive two-day workshop, you will learn how to maximize training transfer using a revolutionary new evaluation methodology known as Predictive Learning Analytics.™ Specifically, you will learn how to pinpoint the underlying causes of scrap learning associated with a training program using predictive analytics and data. You also will learn how to identify, implement, and manage targeted corrective actions aimed at mitigating or eliminating these underlying causes. Please contact us for more information.
No matter how well training is designed and delivered within your organization, you are probably experiencing increased demands to demonstrate its value. Unfortunately, many L&D departments struggle with this because they are uninformed in the art and science of measurement and evaluation.
Now Phillips Associates fills that gap with this highly engaging, two-day "how-to" workshop. During the workshop, participants learn practical tips and techniques for creating valid, scientifically sound Level 1, 2, 3, and 4 evaluations that produce data with high perceived value. Participants also develop evaluations during the workshop to use back on the job and receive feedback on how well they applied the tips and techniques they learned. Please contact us for more information.
What's the most cost-effective and time-efficient way to collect Level 3 measurement and evaluation data? The answer: create a survey! Unfortunately, creating surveys is not an area of strength for most L&D professionals. The result often is a poorly designed survey that leads to the collection of erroneous or misleading data.
In this highly engaging one-day workshop, you will discover how to create Level 3 surveys that capture on the job behavior change. You also will analyze the common mistakes made by many L&D professionals when creating Level 3 surveys and twelve tips for overcoming these mistakes. Please contact us for more information.
Do you feel you know how much participants truly learn in your training programs? If not, you're not alone. Research indicates that only slightly more than half of L&D professionals view the data they collect from their Level 2 evaluations to be of real value. The reason is that the validity of the information is only as good as the quality of the test questions.
In this highly interactive one-day workshop, you will learn how to create scientifically sound multiple-choice, true/false, matching, and fill-in-the-blank test questions. Particular emphasis is also placed on creating test questions that measure job application and not mere recall. Please contact us for more information.
Ken Phillips delivers valuable, measurement and evaluation “how-to” tips and best practices that L&D professionals crave—and can’t find anywhere else!
Each topic can be delivered as an in-person presentation or as a webinar. Ideal for corporate L&D teams or an internal training conference.
What's the difference between a Level 1 evaluation that produces data with high perceived value and one that doesn't? The answer quite simply is a careful and informed measurement and evaluation design. Explore the Dos and Don'ts of writing insightful Level 1 survey items, laying out the evaluation form, and crafting accurate measurement scales.
Do you feel you know how much participants genuinely learn from your training programs? If not, you're not alone. Research shows that only 63% of organizations view the data they collect with their Level 2 evaluations to be of value. Learn 15 practical tips and techniques for creating valid, scientifically sound Level 2 measurement and evaluation quizzes and tests.
Every CEO wants to know if employees use what they learn in training back on the job. Yet, research shows that only 11% of CEOs receive this type of measurement and evaluation information. This session will show you how to design Level 3 participant surveys that capture this elusive data--and finally give CEOs the information they want.
What's the number one thing CEOs most want to see from their L&D investments? The answer: evidence of Level 4 business results. Gain new insights, tools, and techniques on how to conduct Level 4 evaluations that provide clear evidence of how training supports business goals. Also, learn how to isolate the effects of the training from other organization initiatives.
Discover how you can maximize the value of your L&D investments using Predictive Learning Analytics™ (PLA). PLA is a revolutionary new data-driven evaluation methodology that pinpoints the underlying causes of scrap learning associated with a learning program, so that targeted corrective actions can be taken to maximize training transfer.
Data shines brightest when it's clear, credible, and trustworthy. Discover how to interpret and draw conclusions from summarized evaluation data collected using Level 1-4 evaluations. Finally you can answer the question: "What should I do with all this data?"