Document Type: Specification
Status: Canon
Authority: HeadOffice
Applies To: Affiliate Brain, Experimentation Brain, Finance Brain
Parent: Affiliate Brain
Version: v1.0
Last Reviewed: 2026-04-04
Purpose
The Decision Log Structure records key decisions made during the lifecycle of an opportunity.
Decision logging ensures:
traceability of reasoning
visibility of decision changes
learning continuity
audit clarity
reduction of hindsight bias
cross-offer pattern identification
The log preserves the reasoning behind progression and rejection decisions.
Without decision logging, learning degrades over time.
Position in System Architecture
Opportunity Queue captures signals.
Offer Intelligence evaluates structure.
Velocity determines testing eligibility.
Phase 4 Structured Testing produces signals.
Stage Progression evaluates signal stability.
Controlled Scaling evaluates expansion behaviour.
Decision Log captures key decisions across these layers.
Decision Events Captured
Decision Log entries may include:
Velocity decision outcome
progression decision outcome
scaling decision outcome
rejection decision outcome
re-evaluation decision outcome
pause decision outcome
regression decision outcome
Each entry records structural reasoning context.
Decision Log Fields
Each decision entry should capture:
Decision Date
Decision Type
Offer Name
Decision Outcome
Decision Rationale
Key Supporting Signals
Observed Risks
Dependencies Referenced
Related Page Links
Decision Confidence Level
Decision Types
Common decision categories:
Velocity Decision
Testing Continuation Decision
Stage Progression Decision
Scaling Readiness Decision
Rejection Decision
Re-entry Decision
Pause Decision
Decision type classification improves analysis clarity.
Decision Outcome Types
Possible decision outcomes include:
Approved
Conditionally Approved
Rejected
Continue Testing
Pause
Regress
Escalate Review
Outcome classification supports pattern tracking.
Relationship to Offer Intelligence
Offer Intelligence evaluates structural characteristics.
Decision Log records decisions resulting from evaluation interpretation.
Decision logging supports transparency.
Relationship to Experimentation Brain
Experimentation Brain protects statistical interpretation discipline.
Decision Log captures reasoning connected to signal interpretation.
Decision transparency supports audit clarity.
Relationship to Finance Brain
Finance Brain protects capital discipline.
Decision Log records reasoning affecting exposure decisions.
Decision logging improves survivability governance.
Governance Rules
Decision logs must not be edited retrospectively without clear notation.
Historical reasoning must remain visible.
Decision traceability protects learning integrity.
Learning integrity improves future judgement quality.
Architectural Intent
Decision logs preserve institutional learning.
Institutional learning improves decision quality over time.
Decision logging reduces repeated mistakes.
Repeated mistakes reduce survivability.
Traceable decisions improve structural maturity.
Change Log
Version: v1.0
Date: 2026-04-04
Author: HeadOffice
Change: Initial creation.
END Affiliate Brain Decision Log Structure v1.0