Aguiar, Hugo MeninoFerreira, Eric Jean2024-10-302024-01-192023-12-10http://hdl.handle.net/10362/174316This thesis explores the integration of Large Language Models (LLMs) in Human Resources to improve employee feedback processes. It examines challenges in analyzing qualitative feedback in large organizations and proposes Thrivio, an AI-driven Minimum Viable Product (MVP), as a solution. The research combines a comprehensive literature review, mixed methods empirical research, and the development and testing of Thrivio. Focusing on enhancing HR decision-making through AI analytics, the thesis presents a novel bottom-up approach to employee feedback, culminating in a market strategy and future roadmap for Thrivio, thereby contributing to the field of impact entrepreneurship and innovation.engArtificial intelligenceOrganizational feedbackQualitative analysisPlatform developmentOutsystemsUser interface designData visualizationFeedback collection methodsUser experience designSentiment analysisHuman-computer interactionTestingmaster thesis203605950