Plan and evaluate learning products using SAM and ADDIE frameworks.
npx skills add https://github.com/caraya/agent-skills --skill evaluation-iteration
Please help me install this Agent Skill. Skill: evaluation-iteration Source: https://github.com/caraya/agent-skills/tree/main/skills/evaluation-iteration Command: npx skills add https://github.com/caraya/agent-skills --skill evaluation-iteration
This Skill helps teams plan and evaluate learning products using structured evaluation models (SAM and ADDIE) and by collecting friction logs and metrics to drive iterative improvements.
Pilot a learning product using SAM for rapid prototyping, collect friction data, and review metrics to guide iteration.
High-intent search queries and answers about installing and using this skill.
To evaluate a learning program using ADDIE or SAM frameworks, apply structured evaluation models to plan and assess scalable training initiatives or rapid prototypes, collecting formative data to drive iterative improvements.
Friction logging improves pilot programs by capturing step, friction type, severity, and recommended fixes from representative learners, providing structured data to guide iterative development before scaling.
Track learning KPIs during a training pilot by capturing engagement, mastery, transfer, and business KPIs using standardized review workflows, ensuring formative data collection drives measurable improvements.
Yes, you can use SAM cycle evaluation for corporate learning contexts. The framework supports rapid prototyping and scalable training initiatives across both education and corporate environments to inform iterative development.
The best way to collect formative data for learning products is running pilots with representative learners to validate concepts, combined with friction logging templates and basic KPI tracking to guide decision-making.
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