Editor's Pick

Delivering Training Can Be Like Swimming with Sharks

Entering a shark’s world requires preparation, awareness, and respect. In many ways, the same principles apply when designing and delivering effective workplace learning.

The AI Skills Tug-of-War

Who’s responsible for AI training: employers or employees?

From AI Awareness to AI Advantage—Why Most AI Training Fails and How to Fix It

It is no longer enough to say you have learned a skill. People need to show how they have applied it—and articulate the value and impact it created.

The 5C Decision Framework: Training Leaders to Improve Decision Quality

The 5Cs (Context, Clarity, Create Choices, Choose, Commit) give teams a shared language and systematic discipline for decisions that hold up under pressure.

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Training MVP Awards

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Attend TechLearn 2026 in Austin, TX!

Explore the best and the latest in learning design and technologies at TechLearn 2026 in Austin, TX. Save $300 when you register by July 24.

Translating Business Needs into Relevant Learning Initiatives

A guide to bridging the gap between business priorities and learning execution, ensuring every program supports organizational goals and success.

When Training Behavior, AI Is Great for Consistency—But Is It Great for Authenticity?

AI should reduce operational pressure and support the mechanics of long-term behavior adoption, but it should not replace the human experience—for the customer or the employee.

How to Build a Hybrid Frontline Training Program that Works

Digital should handle scale and consistency. In-person should handle connection and complexity. Most organizations are still asking one format to do both jobs and wondering why neither is working.

Low-Risk AI Uses in eLearning

Practical, low-risk ways to test, learn, and build confidence with leveraging AI in training, all while staying firmly within compliance guardrails.

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