pehledn

Pehledn is a theoretical term used in human-computer interaction and game design to describe the perceived clarity with which users can anticipate the outcome of an action within an interface. A high pehledn implies that transitions are predictable, feedback is immediate and coherent, and the next state is foreshadowed by current context and cues.

The term has appeared in design discourse and experimental literature over the past decade, though it is not standardized in formal method handbooks. It is typically discussed in the context of onboarding, tutorial sequences, and complex workflows, where users perform sequences of actions and must form accurate expectations about subsequent states.

Pehledn is typically evaluated through qualitative expert reviews or user studies that compare predicted outcomes with actual outcomes, as well as through quantitative scales measuring predictability, satisfaction, and cognitive load. Design practices that increase pehledn include maintaining consistent animation patterns, providing clear visual cues for state changes, using gradual transitions, and ensuring that controls behave in a reliable and discoverable way.

Critics note that pehledn can be ambiguous to measure and that it overlaps with related concepts such as perceptual transparency and cognitive load. Proponents argue that it offers a practical focus for iterative design. In product documentation, pehledn may be used as a metric to guide interface refinements and to compare alternative interaction flows.