Análise de usabilidade e experiência do usuário da plataforma iPdelve

Abstract

The present study aims to evaluate the usability and user experience of the updated version of the iPdelve platform, a system focused on monitoring trademarks and intellectual property using Artificial Intelligence, through the heuristic inspection method, without the direct involvement of end-users. The methodology is characterized as an applied, exploratory-descriptive, and qualitative research, which used Nielsen's ten heuristics to systematically inspect the system's screens and flows. The inspection was conducted by the researcher, classifying the problems found using a Severity Scale. The results revealed 54 heuristic violations, grouped into integrated analyses of user journeys, with severities ranging between levels 1 (cosmetic) and 4 (catastrophic), highlighting failures in the visibility of system status during AI data processing and the lack of error prevention in critical actions, such as scheduling legal deadlines. Based on the diagnosis, redesign recommendations were elaborated, emphasizing the need for dynamic loading microinteractions and the adoption of positive friction. It is concluded that the interface still presents barriers that require priority correction to reduce the users' cognitive load. As a limitation, it is highlighted that the inspection was conducted by a single evaluator, which may restrict the coverage rate of the identified problems, recommending complementary evaluations with multiple experts in future studies.