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Capability archive · UX

Interfaces that make system behavior understandable

The historical UI/UX practice connected user research and interaction design to implementation constraints. The aim was not decoration, but a workflow whose state, choices and failures people can understand.

At a glance

Design scope

These principles are especially important for probabilistic AI behavior and human review steps.

Research and task models

Interviews, observed workflows and task analysis before screens or component choices are fixed.

Prototypes and validation

Testable interaction models used to expose unclear language, missing states and expensive assumptions early.

Design systems and accessibility

Reusable components with consistent semantics, focus behavior, contrast and responsive rules.

From a concrete requirement to a defensible next step.

Describe the process, systems, constraints and success criteria. We will assess what is realistic and which evidence is needed.