Frameworks & Methodologies

Strategic approaches to collective intelligence and organizational engineering.

Available Frameworks

• The active framework: a checklist for building healthy learning communities

• Osg method for learning communities: a systematic approach to sustainable knowledge transmission

• Community member crisis control (cmcc): a systematic framework for managing community deceleration

• Openserioushub: a framework for decentralized peer-to-peer knowledge exchange

• Change community cycle: the serious game that started everything

• Change community cycle framework: a systems approach to community-driven organizational transformation

• Change community cycle workshops: 6 complete workshop designs for running change communities

• Change community cycle: complete reference guide and phase analysis

• Openseriousgame movement: a systems approach to viral knowledge transmission

• Openserioustemplate v3: complete framework for making serious games transmissible

• The osg role system: a living ecosystem for knowledge transmission

Core Frameworks

ECC Method (Engineering Corporate Collectives) - A systematic approach to designing and optimizing collective intelligence systems within organizations through silo elimination and transversal leadership development.

OpenSeriousGame Movement - A viral transformation framework for open-source knowledge transmission through serious games and systematic community building. Demonstrates how minimal resources can create exponential learning impact through viral transformation principles.

Compound Thinking Systems - Approaches to exponential improvement through connection density and multi-variable reinforcement loops where capabilities build upon each other.

Human-AI Collaboration Architectures - Frameworks for augmented collective intelligence and supermind development, including cogeneration and solution gatling methodologies.

Confidence Level Variations Method - Systematic approach to extending action ranges through marginal risk analysis and strategic confidence building.

Knowledge Graph Learning - Methodologies for developing connection density over information accumulation, enabling accelerated learning and enhanced reasoning capabilities.

Implementation Focus

These frameworks emphasize:

• Systematic approaches over ad-hoc solutions
• Collective intelligence over individual optimization
• Viral transformation over linear scaling
• Evidence-based methods with proven results
• AI-human collaboration for augmented capabilities

Full documentation and additional frameworks continuously evolving.