Porównaj metody

	Cognitive Walkthrough	Przejście pluralistyczne
Dziedzina	Interakcja człowiek–komputer	Interakcja człowiek–komputer
Rodzina	Hypothesis test	Hypothesis test
Rok powstania	1990	1992
Twórca	Clayton Lewis, Peter Polson, Cathleen Wharton, John Rieman	Randolph G. Bias
Typ	Evaluative walkthrough examining how users learn to use an interface	User-centered walkthrough with mixed stakeholders
Źródło pierwotne	Lewis, C., Polson, P. G., Wharton, C., & Rieman, J. (1990). Testing a walkthrough methodology for specifying and evaluating user interface designs. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 387–392).	Bias, R. G. (1994). The pluralistic walkthrough: Coordinating technology and pedagogy in software development. In J. Nielsen & R. L. Mack (Eds.), Usability Inspection Methods (pp. 63–76). John Wiley & Sons. ISBN: 0-471-01877-5
Inne nazwy	Cognitive Walkthrough, CW Analysis	Pluralistic Usability Walkthrough, PW
Pokrewne	4	4
Podsumowanie	Cognitive Walkthrough is an inspection method for evaluating interface designs by simulating and analyzing how users will learn to use a system through exploration and trial. Developed by Clayton Lewis, Peter Polson, Cathleen Wharton, and John Rieman in 1990, this method is grounded in cognitive psychology and focuses specifically on learnability—whether first-time or occasional users can discover how to perform tasks without formal training. Evaluators role-play user actions, answer a set of critical questions about feedback and discovery at each step, and document usability problems.	The Pluralistic Walkthrough is a usability inspection method that brings together users, developers, and usability specialists to walk through an interface and voice their reactions and concerns. Developed by Randolph Bias in 1992, this method combines elements of cognitive walkthroughs with user involvement, creating a collaborative evaluation setting that captures diverse perspectives. By including actual users in the evaluation session, the method bridges the gap between expert judgment and real-world user experience, uncovering unexpected insights and building stakeholder consensus around design improvements.