The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / adoption-metric
Adoption metric
A leading or lagging indicator of transformation uptake — including training-completion rate, active-usage frequency, productivity delta, and worker-sentiment score.
What this means in practice
Distinct from usage analytics alone: adoption metrics are governance-selected indicators whose thresholds drive go/wait/redesign decisions in an AI Change Plan.
Synonyms
adoption measurement , uptake metric
See also
- Reinforcement mechanism — A structured means by which behavior change persists after the formal transformation phase — incentives aligned to new behavior, visible leadership modeling, communities of practice, and continuous feedback loops.
- Leading indicator (of readiness) — A signal that predicts future readiness capability — such as hiring velocity, training-completion rate, data-quality trend, or sponsor-engagement cadence.
- Lagging indicator (of readiness) — A signal that confirms past readiness capability — such as model performance in production, incident rate, or value delivered.
- AI Change Plan — An executive-grade, living artifact aggregating stakeholder landscape, AI-specific resistance map, AI literacy segmentation and enablement plan, communication strategy, role-redesign actions, adoption metrics, reinforcement mechanisms, and portfolio-capacity analysis.