विधियों की तुलना करें

	ह्यूरिस्टिक मूल्यांकन	Tree Testing
क्षेत्र	मानव-कंप्यूटर अंतःक्रिया	मानव-कंप्यूटर अंतःक्रिया
परिवार	Hypothesis test	Hypothesis test
उद्भव वर्ष	1990	2000s
प्रवर्तक	Jakob Nielsen and Rolf Molich	Usability Professionals
प्रकार	Expert-based inspection using established design principles	Task-based testing of navigation structures
मौलिक स्रोत	Nielsen, J. (1994). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249–256).	Tullis, T., Fleischman, S., McNulty, M., Ciccone, C., & Bergel, M. (2002). An empirical comparison of lab and remote usability testing of web sites. In Proceedings of the Usability Professionals Association Annual Conference.
उपनाम	HE, Expert Evaluation, Nielsen's Heuristics	Reverse Card Sort, Card Sorting Validation
संबंधित	4	4
सारांश	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.	Tree Testing is a quantitative, task-based validation method for evaluating information architecture and navigation structures. Users are presented with a text-only representation of a website or app hierarchy (a tree) and asked to locate specific items or complete tasks by clicking through the structure. Unlike card sorting, which reveals user mental models during design, tree testing validates whether a proposed structure allows users to find items efficiently. The method captures success rate, time-to-completion, and paths taken, providing metrics for comparing navigation designs.