Metric
A measurement wired to a decision. A number qualifies as a metric on an executive scorecard only if crossing a stated threshold triggers a specific, named action; a number that moves without changing what anyone does is a measurement, not a metric, and belongs on an engineering dashboard rather than a board presentation.
Defined in 3 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A measurement wired to a decision. A number qualifies as a metric on an executive scorecard only if crossing a stated threshold triggers a specific, named action; a number that moves without changing what anyone does is a measurement, not a metric, and belongs on an engineering dashboard rather than a board presentation.
A definition of what counts as a failure, plus a stated denominator (which inputs the rate is computed over) and a named grader, which together produce a reproducible number. A number without these three parts is not a metric; it is an assertion.
A measure with an explicit numerator and denominator, a threshold and a trigger, watching a set of records. The ninth object. It reads across the chain rather than sitting inside it.
A measure with a definition, a formula, a purpose and a stated question. This program adds a retirement condition.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Measuring quality so executives act: the scorecard that survives a board meeting · Quality as Physics, Certified AI Data Governance Professional (CADGP)
- Building the eval suite that would have caught your Module 3 incident · Evaluation and Trust, Certified AI Governance Professional (CAIGP)
- The GRC information model · Integrated Governance, Risk and Compliance and Enterprise Context, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- Measurement architecture · Governance, Risk and Compliance Metrics, Analytics, and Board Communication, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
Where it shows up at work
A definition is where Metric starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Measures whether governance works: inventory coverage, owners named, overdue reviews, incidents, approval times, not how busy the committee is.
2 lessons on this page teach it as a primary outcome.
Designs tests for factuality, robustness, fairness, safety and abuse resistance with rubrics, baselines and thresholds, and says what a score misses.
One lesson on this page teach it as a primary outcome.
Turns technical uncertainty into a one-page decision: material risks, trends, exceptions, remediation, and what the board is being asked to accept.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- VP of AI Governance and Ethicsneeds it at depth
- Chief Technology Officer, AI engineering editionneeds it at depth
- Model Risk Managerneeds it at depth
- AI Governance Managerneeds working knowledge
- AI Evaluation Specialistneeds it at depth · 6 open postings this week
- AI Model Validatorneeds it at depth
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: ISO/IEC 42001 Clause 9; NIST AI RMF MEASURE 1 and 2; NIST AI 600-1.
One interview question about it
Which three measures would tell a board whether the AI governance program is working, and which popular measure would you refuse to report?
Asked of candidates for governance metrics and program measurement. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Model risk, credit risk and quantitative analysis carries it as work you can show: Test design and benchmark selection are the craft.
- A computer science or software engineering degree carries it as a claim to back up: Testing is second nature; AI evaluation design is a new shape of it.
- A data science, statistics or analytics degree carries it as a claim to back up: Evaluation design for a governance decision is a new frame for a known skill.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.