Monitor and evaluate learning programs
How monitor and evaluate learning programs are reshaped as AGI capability advances.
The bottom line
Roughly 80% of the work in Monitor and evaluate learning programs is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: Because child occupations are unseeded, this score relies on the APQC process name and lens. The parent category 'Manage employee on-boarding, development, and training' typically indicates hybrid work, but the specific process of 'monitoring and evaluating' program effectiveness centers heavily on data analysis, tracking metrics (like LMS data), and processing feedback. These oversight tasks are remotely-doable information tasks, pushing the scalar firmly into the digital band.
grounded in the economy graph · digital scalar 0.80 · digital
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How the work flows
Trigger: A learning program completes a delivery cycle or reaches a scheduled evaluation milestone.
- Collect participant feedback and assessment scores
- Gather post-training performance data
- Compare learning outcomes against program objectives
- Assess business impact and return on investment
- Identify gaps in curriculum or delivery methods
- Document recommendations for program improvement
Outcome: Learning program effectiveness is quantified and actionable improvements are documented for future iterations.