방법 비교

	퍼스트 클릭 테스트	휴리스틱 평가	트리 테스트
분야	인간-컴퓨터 상호작용	인간-컴퓨터 상호작용	인간-컴퓨터 상호작용
계열	Hypothesis test	Hypothesis test	Hypothesis test
기원 연도	2000s	1990	2000s
창시자	Quirkstudio and UX Practitioners	Jakob Nielsen and Rolf Molich	Usability Professionals
유형	Click-based navigation evaluation in realistic visual context	Expert-based inspection using established design principles	Task-based testing of navigation structures
원전	Quirkstudio. (2014). First Click Testing: User Research for Navigation. Quirkstudio White Paper.	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.
별칭	First Click Test, FCT	HE, Expert Evaluation, Nielsen's Heuristics	Reverse Card Sort, Card Sorting Validation
관련	4	4	4
요약	First-Click Testing is a rapid, quantitative method for evaluating whether users click on the correct element to start a task on a web page or screen. Users view a screenshot or live page and are asked to click where they would start a specific task. The test measures success rate (correct first click) and records which elements are commonly misclicked. Unlike tree testing (text-only navigation), first-click testing preserves visual design, isolating navigation labeling and visual information architecture in realistic context.	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.