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 / a-b-test-rct
A/B test (RCT)
A randomised controlled trial in which units are randomly assigned to treatment (AI feature) and control (no feature or baseline feature).
What this means in practice
Gold-standard causal-inference design because randomisation breaks confounding; limitations include contamination, novelty effects, and external validity when piloting in a narrow subset.
Synonyms
randomised controlled trial , AB test for AI
See also
- Difference-in-differences (DiD) — A quasi-experimental design comparing treated and control trajectories over time — identifying causal effect from differential change.
- Regression discontinuity (RDD) — A quasi-experimental design using a threshold — e.g., a credit-score cutoff, an eligibility cutoff — to create a natural experiment near the cutoff.
- Counterfactual outcome — The outcome that would have occurred without the AI intervention — the benchmark against which incremental AI value is measured.