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Learning Is The Engine: Designing & Adapting in a World We Can’t Predict
Summary
In a world where change is constant and complexity is the norm, learning is the engine that drives great design. In this session, Jen explores how designers can move beyond just solving problems to enabling adaptation at multiple scales: individuals, teams, and organizations. Jen shares principles from complexity science and real-world practice to help you design the conditions for curiosity, reflection, and meaningful change – for your collaborators and customers alike. Walk away with a fresh lens on your role as a designer - that is, a mediator of collective learning. Take Aways: A mental model for approaching design in complex systems or volatile domains, shifting from control to curiosity, from solutions to sense making An understanding of the parallels in learning at individual, team, and organizational levels, and why that matters for your design practice Practical principles for creating the conditions where adaptive learning can thrive in your team, product, or organization Inspiration to reframe your role as a designer: not just solving problems, but enabling systems to learn, grow, and evolve
Key Insights
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Complex systems lack linear cause-and-effect, making plans and roadmaps often ineffective.
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Best practices can fail in complex systems because they assume stability and ignore context.
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Learning is an emergent, fractal pattern visible at individual, team, and organizational scales.
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In complexity, psychological safety and alignment emerge rather than can be directly engineered.
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The Cynefin framework helps differentiate clear, complicated, complex, and chaotic systems.
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Nudging or 'wiggling' parts of a system safely can reveal emergent behaviors and inform adaptation.
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Reflection and learning happen in the moment and through interaction, not detached observation.
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Framing learning as adaptation helps navigate unpredictable, interconnected human systems.
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Coherence, where diverse parts make sense together, is more realistic than perfect alignment.
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Supporting learning ecosystems involves creating fertile conditions, recognizing moments, and sustaining relational energy.
Notable Quotes
"Planning is essential, but plans are useless."
"Learning is the foundational design pattern of complex systems. It's emergent, relational and contextual."
"We don’t stand back to reflect, but we can do that reflecting in the moment."
"Best practice is past practice and context changes, so it’s no longer guaranteed to be effective."
"Psychological safety may not be something you can actively engineer; it emerges from conditions that make learning possible."
"Think about alignment versus coherence. Coherence means the system makes sense even if parts go different directions."
"Nudge to me now is much more about wiggle it and see what happens rather than expecting exact outcomes."
"Learning unfolds through encounters that disrupt our existing frames and invite transformation."
"Learning is fractal—self-similar at different scales from individuals to organizations."
"You can’t drive learning like a project plan, but you can create conditions where learning becomes more likely."
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