# Scaling Complex Systems by Building on Agile Frameworks with Hexi #presentation https://www.scrum.org/resources/scaling-complex-systems-building-agile-frameworks https://s3.amazonaws.com/static.scrum.org/Webinar+Slides/Hexi+Webinar+SDO+(3).pdf Scaling Complex Systems by Building on Agile Frameworks involves using a 'best of breed', multi-method approach to agility. This approach goes beyond simple, defined processes and embraces co-evolutionary and adaptive methods to enhance the flow of value. It is based on complex adaptive systems theory, which views scaling as a process of decomposition and recombination, similar to DNA. This method, known as Hexi, was discussed by Prof Dave Snowden, creator of the Cynefin framework, and Nigel Thurlow, co-creator of The Flow System and creator of Scrum The Toyota Way, in a Scrum Pulse webinar. ## Key Points: * Complex systems scale by decomposition (to the lowest level of coherent granularity) and recombination * Granularity at which people can make sense of things without specific technical knowledge. * Complex system do not scale by imitation or replication or through case-based approaches. * [[Complex Adaptive System|CAS]] are dynamic, continuously learning to adapt to external forces, and emerge to new states when necessary to meet unique environmental needs and can’t be predicted by the characteristics of the parts. * Granularity at which people can make sense of things without specific technical knowledge. * [[Complex Adaptive System]] require Chefs, not recipe book users, adapting to local context and combining core ingredients in different ways to feed people. * Context is Key 1. Start from where you are. Map the current dispositional state of the culture and look for patterns. 2. Set a vector (direction to move in). What do we amplify or dampen? Look for adjacent possibles, the first stepping stone. 3. Design interventions (nudges) in order to encourage behavioral change. Run multiple parallel safe-to-fail experiments. 4. Continuous monitoring to determine any shift in direction and landscape changes and develops, plus weak signals. * Context recognizes that no two situations are identical in a complex adaptive system. * You cannot apply a case-based approach.