Post-pandemic digital behaviour changed fast - attention spans fragmented, trust dropped, and users began interacting with products more emotionally and less predictably. Many digital systems still assumed linear, rational usage, leading to friction, fatigue, and disengagement.

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The problem wasn't UI polish - it was outdated interaction logic.

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The project studies post-pandemic patterns across platforms to identify repeatable behavioural signals, decision loops, and moments of drop-off. These insights were translated into conceptual UX frameworks and strategic models that help designers anticipate behaviour instead of reacting to it.

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Rather than prescribing interfaces, the work focuses on interaction logic - when to guide, when to pause, and when to reduce cognitive load.

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The project resulted in a set of adaptable UX strategies that help teams design more resilient, behaviour-aware products.

 

By reframing UX as a system of signals and responses, the work supports clearer decision-making, reduces friction in complex flows, and provides a strategic lens for designing in uncertainty-heavy environments.

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