learning from experience
When performance suffers, training is often the first solution. But if the real issue is a confusing workflow, outdated policy, or broken handoff, training will not fix it.
Waiting to fix knowledge problems creates more than clutter. It creates knowledge debt, an operational cost paid through repeated questions, rework, delays, and unreliable information.
Good instructional design is no longer about producing courses and tracking completions. Learn what modern, performance-focused design looks like in 2026, and why it connects practice, accessibility, AI, trusted knowledge, and measurable outcomes.
When AI gives the wrong answer, the problem may not be the model. Learn how outdated, conflicting, and unowned knowledge undermines AI at work.
Orientation introduces employees to the company. Effective onboarding helps them find answers, understand how work gets done, and succeed long after day one.
Treat organizational knowledge like a product: designed for users, easy to find, trustworthy, owned, and improved over time.
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Agentic AI can help L&D teams move faster—but only when clear rules define what AI agents can access, decide, and do.
Outdated training can lead to confusion, inconsistent performance, and some seriously creative workarounds. Here are five signs your training materials are ready for a refresh.
AI adoption continues to grow, but organizational value isn’t keeping pace. McKinsey’s 2026 State of AI survey reveals why the next phase of AI transformation depends on knowledge, learning, processes and leadership.
A modern learning culture goes far beyond training. Learn how knowledge sharing, documentation, performance support, and continuous learning help organizations adapt and improve.
