Aguiar, Hugo MeninoNagel, Christian Max Heinreich2025-03-262025-03-262024-01-192023-12-19http://hdl.handle.net/10362/181382This 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 intelligenceHuman resourcesSentiment analysisLarge language modelsSaasBusiness modelBusiness developmentGrowthMvp testingMarket analysisCustomer needsmaster thesis203902270