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 / difference-in-differences-did
Difference-in-differences (DiD)
A quasi-experimental design comparing treated and control trajectories over time — identifying causal effect from differential change.
What this means in practice
Usable where randomisation is infeasible (e.g., rollout to business units) as long as parallel-trends assumption is defensible. Standard tool for AI-rollout value measurement.
Synonyms
DiD , diff-in-diff
See also
- 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).
- Synthetic control — A counterfactual constructed from a weighted combination of untreated donor units — the "synthetic" version of the treated unit.
- Counterfactual outcome — The outcome that would have occurred without the AI intervention — the benchmark against which incremental AI value is measured.
- 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.