Experimentation Brain Program Guardrail Metrics Framework

Document Type: Framework
Status: Active
Version: v1.0
Authority: MWMS HeadOffice
Parent: Experimentation Brain Canon
Slug: experimentation-brain-program-guardrail-metrics-framework


Purpose

Defines metrics used to monitor effectiveness of experimentation capability itself.

Ensures experimentation system produces consistent value.


Scope

Applies to performance evaluation of experimentation program.


Metric Categories

Velocity Metrics

experiment frequency
cycle duration
time to decision


Quality Metrics

hypothesis clarity
signal strength
test reliability


Impact Metrics

performance improvements
learning generation rate
decision influence rate


Trust Metrics

adoption rate
cross-Brain usage
decision confidence levels


Portfolio Balance Metrics

risk diversity
innovation ratio
incremental vs transformational tests


Inputs

experiment history
decision logs
performance changes


Outputs

experimentation health indicators
capability maturity signals


Interfaces

HeadOffice Brain
Strategy Brain
Research Brain


Failure Modes

over-optimisation of trivial metrics
low learning generation rate
high activity without impact


Governance Notes

Guardrail metrics prevent experimentation theatre.


Change Log

v1.0 canonical structure created