HUMMBL Unified Tier Framework
Integrating Problem Complexity, Learning Progression, and Base-N Architecture
Welcome
The HUMMBL Unified Tier Framework provides a comprehensive system for:
- Classifying problem complexity from simple to super-wicked
- Mapping learning progression from awareness to mastery
- Selecting mental model combinations for systematic problem-solving
Quick Navigation
📖 Main Documentation
View Complete Framework →
🎯 Core Framework
📚 Application Guides
📖 Reference
Visual Overview
Problem Complexity Tiers
Tier 1: Simple ━━━━━━━━━━ (0-9 points)
Tier 2: Complicated ━━━━━━━━━━━━━━ (10-14 points)
Tier 3: Complex ━━━━━━━━━━━━━━━━━━ (15-19 points)
Tier 4: Wicked ━━━━━━━━━━━━━━━━━━━━━━ (20-24 points)
Tier 5: Super-Wicked ━━━━━━━━━━━━━━━━━━━━━━━━━━ (25-30 points)
Learning Progression
Tier 0: Awareness → Tier 1: Beginner → Tier 2: Intermediate
↓
Tier 4: Master ← Tier 3: Advanced ← [Continue Learning]
Base-N Architecture
Base6 (6 models) → Foundational
Base12 (12 models) → Emerging Practitioner
Base24 (24 models) → Professional Standard
Base36 (36 models) → Advanced Practitioner
Base42 (42 models) → Expert/Master Level
BASE120 (120 models) → Complete Framework
Getting Started
For Practitioners
- Assess your problem using the 5-question wickedness scoring
- Determine tier (0-30 points → Tier 1-5)
- Select Base-N level matching your learning tier
- Apply systematically using implementation protocols
For Learners
- Start with Base6 foundational models
- Progress through Base12 and Base24
- Follow the learning pathway
- Practice with real problems
For Researchers
- Review validation evidence
- Explore research applications
- Consider collaboration opportunities
Framework Components
🎯 Problem Complexity Tiers
Quantitative classification system based on:
- Stakeholder agreement
- Information completeness
- Solution finality
- Learning dynamics
- Time pressure
Learn More →
📚 Learning Progression Tiers
Five-stage development path:
- Tier 0: Pre-Learning (Awareness)
- Tier 1: Tool User (Beginner)
- Tier 2: Integrator (Intermediate)
- Tier 3: Architect (Advanced)
- Tier 4: Creator (Master)
Learn More →
🔢 Base-N Architecture
Structured model selection framework:
- Progressive learning paths
- Cognitive load management
- Domain customization
- Investment optimization
Learn More →
📊 Wickedness Scoring
Quantitative assessment methodology:
- 5-question rubric (0-30 points)
- Objective tier classification
- Worked examples included
- Decision trees provided
Learn More →
Validation & Evidence
BASE120 Mental Model Validation
- Status: ✅ Release-ready (October 31, 2025)
- Quality: 9.1/10 average
- Scope: 120 models across 6 transformations
- GitLab: View Project
View Complete Evidence →
Citation
BibTeX
@techreport{bowlby2025hummbl,
title={HUMMBL Unified Tier Framework v1.0: Integrating Problem Complexity, Learning Progression, and Base-N Architecture},
author={Bowlby, Reuben},
year={2025},
institution={HUMMBL, LLC}
}
APA
Bowlby, R. (2025). HUMMBL Unified Tier Framework v1.0: Integrating Problem Complexity, Learning Progression, and Base-N Architecture. HUMMBL, LLC.
View Full Citation Guide →
Attribution
DeepSeek AI (October 2025)
- Problem Tier descriptive language (Tier 1-4)
- Learning Progression labels
- Pedagogical framework insights
Academic Foundations
- Levin et al. (2012) - Super-wicked problems concept
- Rittel & Webber (1973) - Wicked problems concept
HUMMBL (2024-2025)
- Tier 5 operationalization
- Wickedness scoring methodology
- Base-N architecture
- BASE120 validation
View Complete Attribution →
Resources
Documentation
Version
Current Version: v1.0.0 (November 1, 2025)
Status: Production Release
Next Version: v2.0 (Target: Q2-Q3 2026)
- Base-N empirical testing
- Interactive assessment tools
- Additional case studies
- API specifications
View Roadmap →
HUMMBL, LLC
Chief Engineer: Reuben Bowlby
Built with rigor. Validated with evidence. Designed for impact. 🎖️