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// framework

Cynefin Framework

Dave Snowden, late 1990s

A five-domain model for categorising situations by complexity so you apply the right response — best practice, expert analysis, or rapid experimentation — instead of defaulting to whichever feels comfortable.

// description

The Cynefin (pronounced "kuh-NEV-in") framework categorises situations into five domains: Clear (best practices apply), Complicated (expert analysis needed), Complex (cause and effect only clear in hindsight — probe, sense, respond), Chaotic (act immediately to establish order), and Confused (unclear which domain applies). The framework's primary value is preventing the misapplication of simple solutions to complex problems, or analysis paralysis in chaotic situations.

// history

Dave Snowden developed the Cynefin framework while working at IBM's Institute of Knowledge Management in the late 1990s. He later founded Cognitive Edge to develop complexity-informed approaches to management. "Cynefin" is Welsh and refers to the multiple factors in our environment that influence us in ways we can never fully understand. The framework gained significant traction in the 2010s as businesses recognised that many challenges were complex rather than merely complicated.

// example

A KDP creator classifies her current challenges using Cynefin. Clear: listing a new book on KDP (follow the established upload process). Complicated: optimising ad spend across three campaigns (requires analytical expertise but the relationships are knowable). Complex: figuring out why a new cover style is getting good clicks but poor conversion (the causes are tangled — run several simultaneous small tests rather than one big analysis). Chaotic: an Etsy payment processing outage during a sale period (act first to communicate with customers and redirect traffic, analyse later). Matching the response to the domain prevents wasting analysis time on clear problems and wasting testing time on truly complicated ones.

// katharyne's take

The most practically useful thing I've taken from Cynefin is the distinction between "complicated" and "complex." A complicated problem has a right answer you can find through analysis — like calculating the break-even point for an ad campaign. A complex problem doesn't have a right answer you can analyse your way to — like figuring out what kind of content your audience will respond to. Complex problems need experiments, not analysis. If you're spending hours analysing data to find the "right" answer to a complex question, Cynefin is telling you to stop and run a small test instead.

// creative uses
// quick actions
// prompt ideas
Help me classify these current business challenges using the Cynefin framework: [list 5–8 challenges you're facing — e.g. low Etsy conversion, course launch underperformed, unsure which niche to enter next]. For each one, tell me which domain it sits in and what the appropriate response is — best practice, expert analysis, small experiments, or immediate action.
I've been analysing [a specific problem — e.g. why my KDP sales dropped / why my course isn't converting] for weeks without a clear answer. Using the Cynefin framework, help me determine whether this is a Complicated problem (one right answer I can find through more analysis) or a Complex problem (I need to run experiments). If it's Complex, design 3 small safe-to-fail tests I can run this week.
The [Etsy / Amazon / platform] algorithm just changed and I'm not sure how to respond. Walk me through the Cynefin Chaotic domain response: what should I act on immediately with current knowledge, what should I sense and monitor over the next 2 weeks, and what should I hold off analysing until I have real data from my own shop?
See also: OODA Loop · Systems Thinking · Double Diamond
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