Linganisha mbinu

	Uchambuzi wa Kadi (Card Sorting)	Tathmini ya Virutubisho
Nyanja	Mwingiliano wa Binadamu na Kompyuta	Mwingiliano wa Binadamu na Kompyuta
Familia	Hypothesis test	Hypothesis test
Mwaka wa asili	1990s	1990
Mwanzilishi	Information Architecture Practitioners	Jakob Nielsen and Rolf Molich
Aina	Participatory technique for validating or designing information structures	Expert-based inspection using established design principles
Chanzo asilia	Spencer, D. (2009). Card Sorting: Designing Usable Categories. Rosenfeld Media. ISBN: 1-933820-36-5	Nielsen, J. (1994). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249–256).
Majina mbadala	Card Sort, Open Card Sorting, Closed Card Sorting	HE, Expert Evaluation, Nielsen's Heuristics
Zinazohusiana	4	4
Muhtasari	Card Sorting is a participatory design technique where users organize content items (represented on cards) into logical groups and categories. Used primarily for information architecture design, card sorting reveals how users naturally think about and categorize content, providing empirical data for navigation hierarchies, menu structures, and taxonomy design. The method exists in open form (users create their own categories) and closed form (users organize cards into predefined categories), each revealing different insights about user mental models and organization preferences.	Heuristic Evaluation is a usability inspection method in which small teams of expert evaluators examine an interface and judge its compliance with established usability principles (heuristics). Developed by Jakob Nielsen and Rolf Molich in 1990, this method is rapid and low-cost, identifying 60–90% of usability problems with as few as 3–5 evaluators. Nielsen's Ten Usability Heuristics—visibility of system status, match between system and real world, user control and freedom, consistency and standards, error prevention and recovery, recognition over recall, flexibility and efficiency, aesthetic and minimalist design, error recovery, and documentation—form the basis of most evaluations.