Document Type: Framework
Status: Canon
Authority: HeadOffice
Applies To: Affiliate Brain, Research Brain
Parent: Affiliate Brain
Version: v1.0
Last Reviewed: 2026-04-04
Purpose
The Opportunity Queue acts as the structured intake layer for potential affiliate opportunities.
It exists to capture signals before formal evaluation begins.
The queue prevents:
impulsive offer selection
premature evaluation
loss of potentially valuable signals
unstructured opportunity tracking
evaluation bias caused by memory reliance
The Opportunity Queue ensures signals are captured before judgement occurs.
Position in System Flow
Research Intelligence
→ Opportunity Queue
→ Offer Intelligence
→ Velocity Decision Engine
→ Phase 4 Structured Testing Protocol
→ Stage Progression Protocol
→ Controlled Scaling Protocol
Opportunity Queue is the first controlled structural layer inside Affiliate Brain.
What Enters the Opportunity Queue
Signals may originate from:
Research Brain intelligence outputs
newsletter intelligence extraction
course intelligence extraction
affiliate network discovery
competitor observation
market behaviour patterns
emerging trend identification
advertising pattern detection
Signals may be incomplete.
Signals may not yet be validated.
Signals may not yet be viable.
Opportunity Queue exists to store signals before viability assessment.
What the Opportunity Queue Does Not Do
The Opportunity Queue does not:
evaluate offer quality
assign viability scores
approve testing
approve scaling
estimate profitability
override governance layers
The Opportunity Queue stores signals.
Evaluation occurs later.
Signal Logging Structure
Each Opportunity Queue entry should capture:
Opportunity Name
Source of Signal
Date Logged
Signal Type
Initial Observation
Potential Market Category
Initial Risk Observation
Linked Research Evidence (if available)
Linked Newsletter Intelligence (if applicable)
Linked Course Intelligence (if applicable)
Opportunity Queue entries may remain incomplete.
Completion occurs during Offer Intelligence evaluation.
Signal Types
Common signal categories include:
emerging mechanism patterns
recurring offer appearances
new vendor visibility
strong hook patterns observed
consistent advertising presence
recurring consumer pain point signals
cross-platform offer presence
new category expansion signals
Signal classification improves research clarity.
Promotion to Offer Intelligence
Signals may be promoted to Offer Intelligence when:
multiple signal confirmations appear
Research Brain evidence density increases
market opportunity heatmap signals increase
repeated observation suggests structural relevance
HeadOffice identifies strategic interest
Promotion does not imply approval.
Promotion indicates structured evaluation readiness.
Relationship to Research Brain
Research Brain provides intelligence signals.
Opportunity Queue captures signals originating from Research Brain outputs.
Research Brain does not decide which offers enter Offer Intelligence.
Affiliate Brain governs promotion from Opportunity Queue to Offer Intelligence.
Relationship to Offer Intelligence
Offer Intelligence evaluates structural viability.
Opportunity Queue does not evaluate structural viability.
Opportunity Queue feeds Offer Intelligence.
Governance Rules
Opportunity Queue must not be bypassed.
Direct evaluation without queue logging creates structural blind spots.
Queue logging creates:
traceability
signal lineage
decision transparency
learning continuity
Opportunity origin must remain visible.
Architectural Intent
Opportunity Queue separates signal detection from evaluation judgement.
This separation protects system objectivity.
Signals may appear weak individually.
Patterns emerge across multiple signals.
Opportunity Queue allows pattern visibility.
Without structured intake, signals are lost.
Lost signals reduce opportunity surface area.
Opportunity Queue protects discovery discipline.
Change Log
Version: v1.0
Date: 2026-04-04
Author: HeadOffice
Change: Initial creation.
END Affiliate Brain Opportunity Queue v1.0