手法を比較

	ヒートマップとスクロールマップ	ヒューリスティック評価	ツリーテスト
分野	ヒューマンコンピュータインタラクション	ヒューマンコンピュータインタラクション	ヒューマンコンピュータインタラクション
系統	Hypothesis test	Hypothesis test	Hypothesis test
提唱年	2000s	1990	2000s
提唱者	Web Analytics Pioneers	Jakob Nielsen and Rolf Molich	Usability Professionals
種類	Passive behavior tracking for understanding user attention and engagement	Expert-based inspection using established design principles	Task-based testing of navigation structures
原典	Hotjar. (2021). The Complete Guide to Heatmaps. Hotjar 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.
別名	Click Heat Map, Scroll Map, Attention Map	HE, Expert Evaluation, Nielsen's Heuristics	Reverse Card Sort, Card Sorting Validation
関連	3	4	4
概要	Heatmaps and scrollmaps are behavioral analytics tools that visually represent user attention and interaction on web pages and screens. Click heatmaps show where users click most frequently, visualized as color-coded density overlays. Scrollmaps show how far down pages users scroll and where they typically stop. These passive tracking methods collect aggregate data from hundreds or thousands of real users, revealing attention patterns, engagement hotspots, and content visibility issues without requiring direct user interaction or controlled studies.	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.