Understanding the Dynamics of a Process Mining Project Analyzing Log Data of a Process Mining Platform Process mining proved to be valuable for enabling transparency in business processes and to help to manage the everyday process dynamics. But what about the dynamics of a process mining project itself. In this paper, we present insights of a process mining introduction project spanning two years. For that we analyze the logs of the process mining platform supported by interviews of the developers and participants as part of our case study research. Based on this, our findings indicate four actions that impact a successful process mining project and the underlying dynamics. (1) Two development phases in a test and productive environment can lead to data driven process improvements. (2) Maintenance and the associated technical debt can cause process drift. (3) Scope creep of the project is easily identifiable in such logs and hinders the complete process mining initiative and (4) a sufficient user base and constant interaction with allows for bottom up process change. These results provide quantitative insights into the development and adoption cycles of the software and the direct impact on the processes as well as the business process management initiative. From this initial analysis researchers can benefit from first insights into the quantitative side of a process mining project and our categorization of the findings. Practitioners can use the findings as a blueprint or source for improvements to their process mining projects. 288–299 288–299 Springer Nature Switzerland