The Cynefin Framework

Introduction

• Pronounced as "Kavin"
• Origin: Welsh word meaning habitat or place
  • Signifies being rooted in multiple paths, influencing one's identity
  • Suitable for complexity model due to multiple influencing factors which are never fully known

Key Characteristics of the Cynefin Framework

• Sensemaking Model vs. Categorization Model
  • Sensemaking Model: Data precedes the framework; patterns emerge from data
  • Categorization Model: Framework precedes data; quick but risks missing subtle differences

Framework Categories

• Ordered Systems

  • Simple Domain:
    • Cause and effect relationship is predictable and self-evident
    • Decision model: Sense → Categorize → Respond
    • Apply "Best Practice"
  • Complicated Domain:
    • Right answer exists but not self-evident
    • Decision model: Sense → Analyze → Respond
    • Apply "Good Practice"
    • Allows multiple legitimate approaches, requiring expert input

• Complex Systems

  • Lacks causality; influenced by constraints on agents
  • Decision model: Probe → Sense → Respond
  • Use safe-fail experiments
  • Emergent order results in new, unique practices

• Chaotic Systems

  • Entered deliberately for innovation or accidentally requiring stabilization
  • Decision model: Act → Sense → Respond
  • Practices are novel

• Disorder

  • State of not knowing which domain one is in
  • Leads to interpreting situations based on personal bias
  • Encourages diverse input during crises

Boundary Characteristics

• Boundary between Simple and Chaotic
  • Represented as a cliff; falling into crisis is expensive to recover from
  • Manage mostly in complicated and complex domains

Applications of the Cynefin Framework

• Decision Making
• Knowledge Management
• IT Design
• Project Management

Conclusion

• The framework offers a versatile approach to understanding and managing different types of systems
• Allows adaptation of methods based on the system’s nature and context

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These notes provide an overview of the Cynefin framework, capturing key concepts and distinctions important for understanding its application in various domains.