HUMMBL-Unified-Tier-Framework

Base-N Architecture

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Overview

The Base-N Architecture provides a systematic framework for selecting mental model combinations based on learning progression and problem complexity. Rather than overwhelming learners with 120 models simultaneously, Base-N offers progressive learning paths matched to cognitive capacity and problem demands.

Base Range: Base6 → BASE120
Purpose: Optimize cognitive load, enable progressive mastery
Alignment: Learning tiers, problem complexity, domain needs

The Base-N Levels

Base6 (Foundational)

Model Count: 6 core mental models

Target Audience:

Problem Complexity: Tier 1-2 (Simple to Complicated)

Core Models Include:

Use Cases:

Learning Timeline: 3-6 months to mastery

Cognitive Load: Low (manageable for beginners)

Base12 (Emerging Practitioner)

Model Count: 12 mental models

Target Audience:

Problem Complexity: Tier 2 (Complicated)

Adds to Base6:

Use Cases:

Learning Timeline: 6-12 months beyond Base6

Cognitive Load: Moderate (requires deliberate practice)

Base24 (Professional Standard)

Model Count: 24 mental models

Target Audience:

Problem Complexity: Tier 2-3 (Complicated to Complex)

Adds to Base12:

Use Cases:

Learning Timeline: 1-2 years beyond Base12

Cognitive Load: High (requires sustained practice)

Base36 (Advanced Practitioner)

Model Count: 36 mental models

Target Audience:

Problem Complexity: Tier 3-4 (Complex to Wicked)

Adds to Base24:

Use Cases:

Learning Timeline: 2-3 years beyond Base24

Cognitive Load: Very high (expert-level synthesis)

Base42 (Expert/Master)

Model Count: 42 mental models

Target Audience:

Problem Complexity: Tier 4 (Wicked problems)

Adds to Base36:

Use Cases:

Learning Timeline: 3-5 years beyond Base36

Cognitive Load: Expert-level (requires extensive experience)

BASE120 (Complete Framework)

Model Count: 120 mental models across 6 transformations

Target Audience:

Problem Complexity: Tier 4-5 (Wicked to Super-Wicked)

6 Transformations:

  1. Perspective (P) (20 models) - How we see and frame problems
  2. Inversion (IN) (20 models) - Reverse assumptions
  3. Composition (CO) (20 models) - Combine parts into wholes
  4. Decomposition (DE) (20 models) - Break wholes into components
  5. Recursion (RE) (20 models) - Iterate, feedback, self-reference
  6. Meta-Systems (SY) (20 models) - Coordinate systems-of-systems

Use Cases:

Learning Timeline: 5-10+ years of intensive study

Cognitive Load: Maximum (requires deep mastery)

Validation Status: ✅ BASE120 validated October 31, 2025 (9.1/10 quality)

Selection Decision Tree

What's your current situation?

├─→ New to mental models?
│   └─→ START WITH BASE6
│       └─→ Master foundational thinking patterns
│
├─→ Have basic models, want to expand?
│   └─→ PROGRESS TO BASE12
│       └─→ Add systems and probabilistic thinking
│
├─→ Professional working on complex projects?
│   └─→ USE BASE24
│       └─→ Professional-grade toolkit
│
├─→ Leading organizational change?
│   └─→ USE BASE36
│       └─→ Handle wicked problems effectively
│
├─→ Consulting on major initiatives?
│   └─→ USE BASE42
│       └─→ Expert-level multi-stakeholder work
│
└─→ Researching or developing frameworks?
    └─→ USE BASE120
        └─→ Complete theoretical foundation

Problem-Tier Alignment

Problem Tier Recommended Base-N Rationale
Tier 1: Simple Base6 Foundational models sufficient
Tier 2: Complicated Base6-Base12 Systematic analysis needed
Tier 3: Complex Base12-Base24 Adaptive frameworks required
Tier 4: Wicked Base24-Base36 Multi-perspective essential
Tier 5: Super-Wicked Base36-BASE120 Maximum theoretical depth

Learning-Tier Alignment

Learning Tier Recommended Base-N Duration to Next
Tier 0: Awareness Exploring Variable
Tier 1: Beginner Base6 3-6 months
Tier 2: Intermediate Base12-Base24 1-2 years
Tier 3: Advanced Base24-Base36 2-3 years
Tier 4: Master Base36-BASE120 3-5+ years

Cognitive Load Management

Why Progressive Levels Matter

Research Basis:

Base-N Strategy:

  1. Start small - Master core models deeply
  2. Build chunks - Combine related models
  3. Expand gradually - Add complexity progressively
  4. Integrate continuously - Connect new to existing

Anti-Patterns to Avoid

❌ Jumping to BASE120 immediately

❌ Staying at Base6 too long

✅ Recommended: Progressive mastery

Customization & Domain Adaptation

Domain-Specific Base-N

While the framework provides standard levels, domains can adapt:

Business/Strategy:

Healthcare:

Education:

Public Policy:

Assessment: Choosing Your Base-N Level

Quick Self-Assessment

Choose Base6 if:

Choose Base12 if:

Choose Base24 if:

Choose Base36 if:

Choose BASE120 if:

Progression Pathway

Base6 (3-6 months)
    ↓
Base12 (6-12 months)
    ↓
Base24 (1-2 years)
    ↓
Base36 (2-3 years)
    ↓
Base42 (optional expert level)
    ↓
BASE120 (research/mastery level)

Total Time to BASE120: 5-10+ years

Validation Evidence

BASE120 Validation Study (October 31, 2025):

See: Validation Evidence for complete details

Core Framework:

Application Guides:

Reference:

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