How are L&D teams actually evaluating AI skills before training?
One thing I’ve been struggling with lately is figuring out how to properly assess AI skill levels before building training around it.
Many employees now claim to use AI at work, but this term can have very different meanings depending on the individual. Some people are already using AI in workflows and decision-making, while others mostly use it for simple drafting or basic prompts.
The hard part is that self-assessments don’t always seem accurate, but traditional quiz-style evaluations also don’t feel like they capture practical ability very well either.
Because of that, it’s becoming difficult to know where people actually are before designing learning paths or upskilling programs.
Curious how others in L&D are approaching this right now. Are you relying more on practical exercises, manager feedback, observation during work, or something else entirely?