The Kevin Eikenberry Group has been a recognized leader in Remote and Hybrid work for over a decade. Please enjoy a sample chapter from the updated Long Distance Leader, with a focus on how hybrid and flexible work is changing the workplace.

Most learning teams aren’t struggling with strategy - they’re struggling with how training actually runs at scale. As demand for instructor-led and virtual training grows, this gap becomes harder to ignore -  impacting efficiency, cost control, and visibility across operations. Some organizations are already addressing it, transforming how training runs to deliver measurable ROI. Inside, you’ll see how top L&D teams are: Accelerating planning cycles to deliver training faster Improving visibility across global training operations Reducing costs tied to cancellations, resource utilization and inefficiencies Get the eBook to see what's working - and how to apply it to your own training operations.

The best stories stay with us long after they end. Like our favorite characters, movies, or TV shows, because they stir emotions and create lasting memories. Scenario-based learning can deliver the same impact when designed thoughtfully. It lets learners make meaningful choices, experience realistic consequences, and form emotional connections.  This checklist focuses on three core elements for effective scenario-based content:   Branching architecture - multiple outcomes driven by learner decisions Relatable character design - to evoke genuine emotion  Intentional scene composition - to set tone and immerse learners in their roles.  Use it to evaluate tools, write creative briefs, audit existing content, or guide your team, and start building engaging learning experiences that feel as captivating as a great story.

Learning leaders are under pressure to prove learning actually moves the business. As skills shift and organizations rethink how work gets done, the old model—build courses, launch programs, report completions—isn’t enough. The Top 5 Things Learning Leaders Must Get Right in 2026 explains why the traditional L&D playbook is running out of road and what learning leaders need to do differently. This research brief outlines five shifts shaping the future of learning leadership, from building capability instead of more courses to using AI for practice and performance support. It also explores how skills data should guide workforce decisions and why learning must connect directly to business outcomes. Download the ebook for practical ideas learning leaders can start applying now.

AI isn’t coming. It’s here. And it’s changing how work gets done - fast. In this report, four top industry thought leaders share what they're seeing on the ground. Their focus? What leaders can do right now to help their team perform in an AI-shaped workplace. If your organization feels like the workplace is shifting beneath your feet, this report will help you reset expectations and build the clarity and confidence your teams need to thrive.  In this report, you'll learn how to:  Redefine performance around clarity, not activity Build judgment and AI fluency side-by-side Evolve training fro madding more courses to building the right capabilities Protect, support, and engage your managers for the good of your entire organization Work is changing whether we're ready or not. The good news? You can prepare for it. Download the report and start building a workforce that's ready for what's next. 

L&D leaders are navigating growing pressure to adopt AI quickly, often before the right questions have been asked or the right foundations are in place. This guide explores how learning leaders can take control of the AI conversation by slowing down in the right places, surfacing hidden assumptions, and making decisions they can confidently explain and defend.  Download this guide to get a practical framework of questions that help L&D leaders stay grounded, move deliberately, and ensure AI is introduced in a way that strengthens their operations rather than complicating them.

Personalization no longer means creating custom content. Today, it looks like the entire logic behind learning ecosystems. In this guide, we break down how that logic looks in practice and why this approach makes personalization invisible but genuinely useful for the business.

The demand for engaging video content to help document, train, and share knowledge keeps growing, but for most teams, the resources to produce it are not keeping up. AI tools promise a way to solve this, but just because AI can crank out a video in minutes doesn’t mean the result will be worth watching. Only focusing on speed has trade-offs. And that’s where "AI slop" creeps in. The good news? You can use AI to accelerate your workflows and stay human. The key is knowing when to lean on the machine and when to trust your own voice. Download the HUMAN Framework guide to explore a set of five principles for using AI effectively and responsibly in your training videos.

Training and L&D professionals are navigating a pivotal moment in virtual instructor-led training (VILT), one where broad adoption has taken hold and the focus is shifting toward consistency, engagement, and measurable impact. This research report, produced in partnership between Class and Training magazine, draws on responses from 545 L&D professionals to explore how organizations are delivering live virtual training today, where challenges are limiting program effectiveness, and what it takes to elevate good programs into high-impact ones. Download the report to uncover findings on the operational, engagement, and analytics challenges shaping VILT programs, and discover what leading organizations are doing to strengthen live virtual learning at every stage.

This playbook is your strategic guide to transforming AI adoption from a training checkbox into a sustainable competitive advantage. Too many organizations rush into AI implementation without understanding why their teams struggle, resist, or abandon these powerful tools within weeks. We've distilled years of cognitive research and realworld implementation experience into three actionable parts that address the root causes of AI adoption failure. This isn't about teaching people to write prompts—it's about fundamentally reshaping how your organization thinks about and integrates artificial intelligence into daily workflows.