Learning Assessment & Evaluation
Most AI training is judged by attendance and a satisfaction survey. That shows who showed up, not who can now do the work. Without real measurement there is no way to know which training to repeat, fix or stop.
How we approach it
We measure skills before and after, using practical tasks instead of recall questions, and report the results in plain language. Evaluation is designed in from the start rather than bolted on at the end.
Where this usually applies
- AI skills baseline assessments for teams and new hires
- Organizational AI learning readiness reviews
- Pre- and post-training skill measurement using practical tasks
- Evaluation of existing training programs and courses
- Learner progress reporting for managers and program leads
- Assessment design for education and workforce programs
How it fits with the rest of the work
Most engagements involve more than one of these. We scope the combination that fits rather than selling a category.