Document Type: Framework
Status: Active Framework
Version: v1.0
Authority: Content Brain
Applies To: Content Brain, Research Brain, Affiliate Brain, Experimentation Brain
Parent: Content Brain
Last Reviewed: 2026-04-09
Purpose
The Content Asset Classification Framework defines the different types of content assets produced within MWMS.
Content assets must be clearly classified so that:
their purpose is understood
their role in the system is clear
their signals are interpretable
their relationship to decision environments is visible
Content classification improves structural consistency across the Content Brain.
Core Principle
Different content types serve different purposes.
Clear classification improves clarity of intent.
Clarity of intent improves system learning quality.
Content Asset Categories
Educational Assets
Purpose:
Improve understanding of problems, concepts, or solution structures.
Examples:
explanations
guides
conceptual overviews
problem definitions
Educational assets strengthen knowledge clarity.
Authority Assets
Purpose:
Strengthen credibility and perceived expertise.
Examples:
deep explanations
structured analysis
interpretation frameworks
Authority assets strengthen trust formation.
Problem Awareness Assets
Purpose:
Help audiences recognise problems more clearly.
Examples:
problem identification
symptom explanation
situation clarification
Problem awareness assets increase relevance perception.
Solution Understanding Assets
Purpose:
Explain how solutions operate.
Examples:
mechanism explanations
solution comparisons
outcome expectations
Solution understanding assets improve interpretation clarity.
Pre-Sell Assets
Purpose:
Improve readiness to evaluate offers.
Examples:
comparison content
expectation clarification
evaluation frameworks
Pre-sell assets improve decision comfort.
Signal Generation Assets
Purpose:
Observe behavioural response patterns.
Examples:
exploratory topic content
angle variation content
interpretation testing content
Signal assets support Research and Experimentation Brains.
Support Assets
Purpose:
Clarify specific questions or uncertainties.
Examples:
FAQ style content
clarification content
definition content
Support assets reduce friction.
Authority Expansion Assets
Purpose:
Demonstrate depth of knowledge.
Examples:
advanced explanations
cross-framework relationships
detailed interpretation
Content Asset Behaviour Role
Different asset types generate different signals.
Different signals support different learning needs.
Understanding asset role improves signal interpretation.
Asset Selection Logic
Asset type selection should consider:
audience understanding stage
decision readiness level
knowledge clarity requirements
offer support requirements
Cross-Brain Asset Relationships
Research Brain
Uses signal assets and educational assets to identify patterns.
Affiliate Brain
Uses pre-sell assets and solution understanding assets to improve conversion environments.
Experimentation Brain
Uses signal generation assets to observe behavioural differences.
Finance Brain
Benefits indirectly from improved conversion stability.
Classification Discipline Rule
Content should not be produced without clear purpose.
Each asset should serve defined structural function.
Classification Integrity Rule
Content types should remain simple and interpretable.
Overly complex classification reduces usability.
Future Expansion
Future versions may include:
asset performance scoring
asset role weighting
content contribution analysis
automated asset classification
Change Control
Structural changes must follow:
MWMS Canon Promotion Protocol
Summary
Content assets serve different purposes.
Clear classification improves structural clarity.
Structural clarity improves learning signal quality across MWMS.