Key Insights

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  Traditional UX methods like A/B testing and user journeys are reactive and observe user behavior post-facto, limiting proactive design.

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  User intent exists as a cloud of probabilistic potential actions, akin to quantum superposition, until an interaction collapses it into a decision.

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  The QFI model uses the analogy of fluid dynamics to describe user flows, with interface elements shaping paths like landscapes shape currents.

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  Momentum in UX reflects user motivation and energy, driving faster and more decisive interactions similar to strong fluid currents.

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  Friction or cognitive viscosity represents obstacles in the interface that slow or block user flow, causing frustration or abandonment.

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  Behavioral turbulence arises from breakdowns in flow, leading to chaotic, unpredictable user actions like rage taps or loops.

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  QFI introduces the concept of an intent Hamiltonian, representing forces altering user probabilistic states towards one outcome or another.

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  Interfaces should be designed to guide and choreograph intentions, shaping gradients of motivation and friction rather than forcing actions.

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  QFI is a scientific framework aiming to shift UX from craft relying on intuition to a predictive science based on models and measurements.

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  The framework supplements, not replaces, UX research and design; it amplifies understanding to generate better hypotheses and experiments.

Notable Quotes