How to use the Cynefin framework

Perhaps like us, you’ve occasionally wondered about whether there are better ways to make decisions. We’ve often done a quick pros and cons list for example! That’s a pretty straightforward decision making model. But there are others. So in this episode we’re exploring one of these, the Cynefin decision making model. 

The Cynefin framework, developed by Dave Snowden in 1999, is a decision-making model that helps us understand different types of problems and adapt our management approach accordingly. Snowden chose the word cynefin for his framework because of its deep, multifaceted meaning in Welsh that aligns with the concepts the framework seeks to explore. The word cynefin is pronounced kuh-NEV-in (for those like us who need help to figure out how to say this!). It’s difficult to translate directly into English, but it roughly means “habitat”, “accustomed” or “place of multiple belongings.” It conveys a sense of cultural and environmental context, suggesting a place where one feels a sense of belonging, shaped by the past and the environment.

Snowden found cynefin fitting because the framework is designed to help people understand and navigate different types of problems and situations based on their contexts. Just as the word suggests a deep connection to a place or situation influenced by history and surroundings, the Cynefin framework helps us make sense of complex, dynamic environments by considering the various contexts in which they operate. The name underscores the framework’s focus on situational awareness and the understanding that decisions and actions are context-dependent.

It categorises problems into five distinct domains: Clear, Complicated, Complex, Chaotic, and Confusion. Understanding these domains can significantly enhance our ability to manage and respond to various situations effectively.

[Source: Tom@thomasbcox.com https://commons.wikimedia.org/w/index.php?curid=123271932]

In the Clear domain, problems are well-understood and have clear cause-and-effect relationships. Solutions are straightforward, and best practices can be applied. For example, routine administrative tasks, such as processing invoices, fall into this category. The appropriate management approach is to use established procedures and processes, ensuring that tasks are performed correctly and consistently. In agriculture, an example could be the routine maintenance of farm equipment. The steps are well-known and documented, making it a straightforward task relying on established procedures.

The Complicated domain involves problems that are more challenging but still solvable with expert knowledge. There are multiple right answers, and so the cause-and-effect relationships require analysis. An example would be diagnosing issues in a complex machinery system. Here, the management approach should involve seeking out expertise, evaluating multiple options, and applying good practices. In the agricultural context, designing an efficient irrigation system tailored to a specific farm’s needs can be a complicated task. It requires expert knowledge in hydrology and soil science to ensure optimal water usage and crop health.

In the Complex domain, problems are unpredictable, with no clear cause-and-effect relationships. The best solutions often emerge through experimentation and adaptation. Developing a new agricultural practice that must adapt to varying weather conditions and soil types is an example of this. The management approach should encourage exploration and experimentation, using experiments to test hypotheses and learn from outcomes. For instance, introducing a new crop variety to a farm may involve complex interactions with local soil conditions, pest populations, and climate. Farmers might need to experiment with different planting techniques, fertiliser applications, and pest control methods to find the best approach for their specific conditions.

Problems in the Chaotic domain are urgent and require immediate action. There’s no apparent order, and the priority is to stabilise the situation. For instance, responding to a natural disaster affecting farms falls into this category. The appropriate management approach is to act decisively to establish order and then shift to the Complex domain to understand underlying causes and prevent recurrence. Another example could be dealing with a sudden outbreak of a contagious livestock disease. Immediate measures might include quarantining affected areas, culling infected animals, and implementing emergency biosecurity protocols to prevent the spread of the disease.

The Confusion domain represents situations where it’s unclear which of the other four domains apply. This often requires further assessment to categorise the problem correctly. An example could be an initial response to an unexpected market shift where the implications are not yet clear. The management approach should involve gathering information and working to move the problem into one of the other four domains for appropriate management. For instance, we think the war in the Ukraine would have meant a number of farmers here being uncertain about the mix of crops to sow, because of the effect on world markets. The initial step would be to gather market data and seek advice from experts to determine whether the situation fits into the Chaotic or Complex domains.

In the agricultural sector, the Cynefin framework can be particularly useful for farm advisors and extension practitioners as they guide farmers through various challenges. Identifying the type of problem before working out the best approach for decision making is critical. Recognising which domain a particular problem falls into, allows us as enablers of change to tailor our approach, ensuring we provide the most effective support and guidance.

In conclusion, the Cynefin framework is a powerful tool for navigating the complexities and uncertainties inherent in agricultural decision-making. By understanding and applying its principles, we can better support farmers in managing risks and uncertainties, as well as support the decision making process appropriately. For further reading on the Cynefin framework see the resources below.  

Well, you’ve read our thoughts, now we’d like to hear yours! Add a comment below and tell us about your experiences with the Cynefin framework, including any tips and further ideas about it. We don’t want this to be just a one-way conversation—join in by sharing your thoughts and ideas with us! 

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Resources

The cognitive edge website

Snowden, D. (2022). Cynefin: Weaving sense-making into the fabric of our world. Cognitive Edge. 

Snowden, D., & Boone, M. E. (2007). A leader’s framework for decision making. Harvard Business Review, 85(11), 68-76. Available online.