Návrh nástroje pro vedení manažerských schůzek 1 na 1 s podřízenými v prostředí IT

This master's thesis focuses on the design, testing, and implementation of a prototype software tool utilizing generative artificial intelligence to support managers in conducting one-on-one meetings with subordinates in the IT environment. A literature review showed that regular individual meetings tailored to employees' needs positively affect their motivation and work performance. The integration of generative artificial intelligence can improve these processes by automating routine tasks, such as agenda preparation or proposing discussion topics, presenting an opportunity for innovation given the insufficient utilization of AI in existing tools. The prototype was designed with an emphasis on user-centered design, and its usability was verified through guerrilla testing and usability testing with IT managers. The testing demonstrated positive acceptance of the tool by all participants; all managers appreciated features such as automatic agenda generation, smart suggestions, and meeting preparation, which significantly simplify meeting planning and support modern leadership practices. Experienced managers see potential in the tool's analytical capabilities for maintaining leadership continuity, while less experienced managers appreciated assistance in structuring meetings. The implemented microservice for automatic agenda generation utilizing the GPT model from OpenAI demonstrated the ability to generate relevant content reflecting the specific needs of managers and subordinates. The generated agendas accurately reflected the input data, supported open communication and modern leadership practices, confirming the suitability of using AI in this context. This work contributes to the innovation of managerial processes in the IT sector by integrating generative artificial intelligence, thereby enhancing the quality and facilitating the conduct of one-on-one managerial meetings.