A method for choosing a strategy for redesigning interfaces to ensure effective human-machine interaction in web applications

Abstract

The article examines the problem of selecting an optimal strategy for redesigning web application interfaces, which is particularly relevant in the context of digital transformation, increasing user demands for service quality, and intensified competition in the field of information technology. It is well known that interface redesign can have both positive and negative consequences: on the one hand, it may improve system ergonomics, enhance user experience, and simplify the work of development teams; on the other hand, it carries significant risks related to possible failures in the production environment, team overload, and decreased user loyalty in the case of unsuccessful changes. Traditionally, such decisions are made based on experience or intuition, which reduces the justification and transparency of the process. The aim of the study is to formalize the selection of a redesign strategy using a multi-criteria analysis that considers technical, organizational, and ergonomic aspects. For this purpose, the Analytic Hierarchy Process (AHP) was applied, enabling comparison of alternatives across multiple criteria and determination of their priorities. The study modeled four redesign approaches: “Big Bang”, gradual migration, parallel development, and the use of Feature Flags. Pairwise comparisons of criteria were conducted using the SuperDecisions software, which allowed the calculation of global priorities and sensitivity analysis of the results. The findings revealed that the most effective strategy is the use of Feature Flags, as this approach ensures controlled implementation of changes, minimizes the risk of critical failures, simplifies testing, and reduces psychological pressure on the team. The scientific novelty of the study lies in applying AHP specifically to web interface redesign, where engineering and human factors intersect. The practical significance lies in the potential use of this methodology as a universal decision-making tool in UI/UX design, project management, and human–machine interaction. Future research may focus on automating model construction, integrating AHP into DevOps processes, and applying real UX metrics to refine evaluation criteria.