Learning is the north star: service design for adaptive capacity

Key Insights

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  Organizations often fall into single-loop learning, trying harder rather than smarter, like Wiley Coyote repeating failed experiments without real reflection.

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  Complex adaptive systems, common in service design, defy traditional planning and KPI measurement due to their unpredictable, non-linear nature.

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  The Cynefin framework helps distinguish clear, complicated, complex, and chaotic systems, with complexity requiring emergent, reflective practices rather than fixed recipes.

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  Learning in complex systems is not merely acquiring knowledge but a shift in understanding that changes future actions, emphasizing adaptation.

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  Adaptive capacity is the ability of people, teams, or systems to sense change, learn from it, and respond effectively amidst uncertainty.

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  Service design techniques can build adaptive capacity at multiple scales—from small teams to enterprise-wide initiatives—by fostering sense-making and collaboration.

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  Traditional KPIs can create perverse incentives in complexity, favoring short-term fixes over long-term learning and experimentation.

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  Measuring learning involves tracking narrative changes, velocity of shared understanding, integration of new tools, participation diversity, and inquiry shifts rather than counting outputs.

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  Learning should be embedded as a daily practice through low-risk probes, experiments, and intentional curiosity rather than formal, large-scale pilots.

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  To cultivate a learning organization, model adaptive behavior yourself to become a magnet for like-minded collaborators, rather than trying to evangelize broadly from the outset.

Notable Quotes