learning from experience
The customer experience continues long after the sale. Discover how product training, clear documentation, and timely support help customers get value from what they buy.
AI adoption is outpacing preparation. Workplace AI literacy requires role-specific practice, clear guardrails, and escalation paths—including knowing what AI agents may do and when people must intervene.
The workplace grouch may be noticing what everyone else has learned to tolerate. Learn how recurring complaints can reveal opportunities to improve work.
When every employee depends on the same expert for answers, reviews, training, and exceptions, burnout follows. Learn practical ways to protect SME time, reduce repeat questions, and make critical knowledge easier for everyone to use.
AI is already at work in many organizations, but strategy hasn’t always kept pace. New Gartner research shows why businesses need to turn informal AI adoption into organizational capability.
AI makes strong knowledge management more important, not less. Learn four connected practices for capturing, governing, sharing, and improving the knowledge people—and AI tools—need to do their best work.
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 But if the real issue is a confusing workflow, outdated policy, or broken handoff, training will not fix it.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 Learn how outdated, conflicting, and unowned knowledge undermines AI at work.
