পদ্ধতির তুলনা করুন

	হিউরিস্টিক মূল্যায়ন	থিংক-আউট প্রোটোকল
ক্ষেত্র	মানব-কম্পিউটার মিথস্ক্রিয়া	মানব-কম্পিউটার মিথস্ক্রিয়া
পরিবার	Hypothesis test	Hypothesis test
উদ্ভবের বছর	1990	1980
প্রবর্তক	Jakob Nielsen and Rolf Molich	K. Anders Ericsson and Herbert A. Simon, adapted to HCI by Clayton Lewis
ধরন	Expert-based inspection using established design principles	Protocol for capturing user cognition and decision-making during task execution
মৌলিক উৎস	Nielsen, J. (1994). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249–256).	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.
অপর নাম	HE, Expert Evaluation, Nielsen's Heuristics	Talk-Aloud Protocol, Concurrent Thinking Aloud, TA
সম্পর্কিত	4	4
সারসংক্ষেপ	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.	The Think-Aloud Protocol is a usability testing method in which participants verbalize their thoughts while completing tasks on a system. As users navigate an interface, they continuously narrate their observations, interpretations, and reasoning, allowing researchers to understand their mental models, decision-making, and frustration points. Originating from cognitive psychology research by Ericsson and Simon (1980), this method was adapted for HCI by Clayton Lewis and has become one of the most widely used techniques for identifying usability problems and understanding user behavior.