# Before Building AI Training Tools, Companies Need to Observe Real Work First

Companies rushing to build AI-powered training modules miss a critical step: actually watching workers do their jobs. eLearning Industry argues that observing employees in their authentic workflow reveals what training tools should address, and what questions designers should never ask.

The article outlines practical observation techniques that distinguish effective workplace research from performative shadowing. Where you stand matters. Clipboards and visible note-taking change behavior. Open-ended questions often produce useless data. Instead, researchers should identify the two or three decision points that genuinely drive performance.

This approach applies across roles. A finishing technician's workflow differs from a parts-counter representative's, but both benefit from observation-first design. Watching workers handle real problems reveals friction points that surveys and interviews miss. An employee answering questions in a training meeting behaves differently than one managing a rush at the counter or troubleshooting a finish defect.

The distinction matters for AI training tools specifically. Generic modules waste time and money. When designers understand where workers actually struggle, they can target AI assistance at those moments. A system built without observation wastes budget on features workers never use while ignoring their actual pain points.

The guidance reflects a broader lesson in workplace training: good design requires humility and patience. Developers often assume they understand job requirements. Spending an afternoon actually watching reveals assumptions that don't hold. The worker who seems inefficient may follow procedures designers don't see. The task that looks straightforward may involve hidden complexity.

For training teams building AI modules, the takeaway is clear. Before writing code or designing interfaces, send someone to the workplace. Watch without interrupting. Stand where you don't disrupt the work. Avoid the clipboard. Ask the questions that matter. Note the decision points where training can actually help.

This investment in observation front-loads success. It prevents