How do you use the Cynefin framework to deal with complex and uncertain situations?

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Data-driven decision making is a crucial skill for any leader or manager, especially in times of uncertainty and complexity. But how do you know what kind of data to collect, analyze, and act on? How do you avoid being overwhelmed by information or paralyzed by ambiguity? One useful tool to help you navigate different situations is the Cynefin framework, developed by Dave Snowden and his colleagues. In this article, you will learn what the Cynefin framework is, how it categorizes problems into five domains, and how you can use it to make better decisions.

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Adrián Chust Ros ?? Data Scientist

Ayudo a Empresas a Ganar más con Inteligencia Artificial y Datos | Científico de Datos | Ingeniero de Machine Learning…
Hani Alquhayz

Data Science, Data Analytics , Leadership, PhD in Computer Science, I help organisations leverage data to make informed…
Howard Diesel

Chief Data Officer @ Modelware Systems | CDMP Master | Data Management Advisor

1 What is the Cynefin framework?

The Cynefin framework is a sense-making model that helps you understand the nature and context of the problems you face. It recognizes that not all problems are the same, and that different types of problems require different types of solutions. The Cynefin framework divides problems into five domains: simple, complicated, complex, chaotic, and disorder. Each domain has its own characteristics, dynamics, and best practices.

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Adrián Chust Ros ?? Data Scientist

Ayudo a Empresas a Ganar más con Inteligencia Artificial y Datos | Científico de Datos | Ingeniero de Machine Learning | IA
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The Welsh term "cynefin", which translates as "habitat" or "place", highlights how our interactions are shaped by personal or environmental experiences. The Cynefin model arises in opposition to Taylorism, arguing that its methods are not sufficient to navigate the complexity of today's reality. To claim that there is one universally effective leadership style is unrealistic, especially in a world defined by globalisation and technological advances, where the irrational and unpredictable predominate.

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Hani Alquhayz

Data Science, Data Analytics , Leadership, PhD in Computer Science, I help organisations leverage data to make informed decisions, improve efficiency, and drive business growth.
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Using Cynefin for complex situations: 1. Identify context: Clear, Complicated, Complex, or Chaotic 2. Clear: Apply best practices 3. Complicated: Analyze, then act 4. Complex: Probe, sense, respond 5. Chaotic: Act quickly, then assess 6. Disorder: Gather info to categorize 7. Reassess as situation evolves 8. Foster organizational adaptability 9. Encourage diverse perspectives 10. Balance analysis with intuition This approach enhances decision-making in uncertainty, promoting agility and resilience.

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Howard Diesel

Chief Data Officer @ Modelware Systems | CDMP Master | Data Management Advisor
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I think using the term "best practices" is confusing as it is overloaded with the different states of practices across the domains: Emerging, Good & Best practices,

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Nikhil Zelawat

Director & Active Trader at TraderSync | Elevating Trading Performance for 10K+ Global Users | Passionate about Market Strategies
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Here's how I would use the Cynefin framework for complex and uncertain situations: 1. Simple situations: Follow established best practices and data-driven processes. 2. Complicated contexts: Leverage in-depth analysis, techniques like root cause analysis, and subject matter experts. 3. Complex, unpredictable situations: Take an exploratory, adaptive approach using safe-to-fail experiments, real-time data, and diverse stakeholder engagement. 4. Chaotic situations: Act rapidly to stabilize first, then treat as a complex context. The framework guides selecting the appropriate decision-making approach based on the level of complexity and uncertainty present.

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2 How to identify the domains of the Cynefin framework?

In order to use the Cynefin framework, the first step is to identify which domain your problem belongs to. To do this, ask yourself questions such as: is the problem well-defined and predictable, or is it ambiguous and uncertain? Is there a clear cause-and-effect relationship between the inputs and outputs, or is it nonlinear and emergent? Is there a single right answer or best practice, or are there multiple possible solutions or perspectives? How much agreement and certainty do you and your stakeholders have about the problem and the solution? Depending on your answers, you can place your problem in one of five domains. The Simple domain is straightforward and stable, with a clear cause-and-effect relationship. The Complicated domain is well-defined but not obvious, with multiple possible causes and solutions. The Complex domain is ambiguous and unpredictable, with no clear cause-and-effect relationship. The Chaotic domain is urgent and chaotic, with no discernible cause-and-effect relationship. And finally, the Disorder domain is unclear and confusing, with no agreement or certainty about its nature or context.

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Howard Diesel

Chief Data Officer @ Modelware Systems | CDMP Master | Data Management Advisor
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Using the State of Information is helpful to Identify the domain as well. Known, Knowns Known, Unknowns Unknown, Knowns Unknown, Unknowns This gets you to think about where your uncertainty is.

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3 How to use the Cynefin framework to make better decisions?

Once you have identified the domain of your problem, you can use the Cynefin framework to guide your decision making process. Depending on the domain, different strategies, methods, and mindsets can be adopted to effectively solve the problem. For example, in a simple domain, standard procedures, rules, or checklists can be used. Delegation to someone with the relevant authority or expertise is also an option. In a complicated domain, analytical tools and data are necessary. Consultation with experts or specialists who have the relevant knowledge or experience is recommended. For a complex domain, creative methods and experiments are best. Collaborative teams with different perspectives or skills should be involved. In a chaotic domain, intuitive actions and quick wins should be implemented. Leaders or influencers who have trust and authority should be relied on. Finally, in a disorder domain, diagnostic tools and questions should be used. Engagement in dialogue or debate with stakeholders who have different views or interests is important. The Cynefin framework is an invaluable tool for making data-driven decisions in complex and uncertain situations. By understanding the nature and context of your problems, you can choose the most suitable solutions and actions for each domain. Applying this framework to your decision making process will help you become a more effective, efficient, and agile leader or manager.

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4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Howard Diesel

Chief Data Officer @ Modelware Systems | CDMP Master | Data Management Advisor
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It is also very helpful to link the type of Analytics to each domain: 1. Simple: Digital Decisioning 2. Complicated: Confirmatory Analytics 3. Complex: Exploratory Analytics 4. Chaotic: Just Act (Do It) 5. Avoid, until you can place into a domain

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How do you use the Cynefin framework to deal with complex and uncertain situations?

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1 What is the Cynefin framework?

2 How to identify the domains of the Cynefin framework?

3 How to use the Cynefin framework to make better decisions?

4 Here’s what else to consider

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