Recent years have seen the ascendance of Robotic Process Automation (RPA), offering significant potential for process automation even to non-IT specialists, termed as citizen developers. This technology has repeatedly demonstrated its capacity to deliver time savings, quality enhancements, and cost reductions when applied to appropriately chosen processes. Citizen developers, equipped with a range of tools and software libraries, are central to implementing RPA bots. Our research involved conducting an experiment to explore how varying tools and libraries impact the performance metrics of bot runtime and result quality. Utilizing a typical RPA use case, we observed and logged the execution of these bots in a controlled environment. The findings of our experiment reveal substantial disparities, primarily attributable to the performance of Optical Character Recognition (OCR) libraries. Based on these insights, we propose strategic recommendations for bot development and the future-oriented restructuring of business processes.