Many information systems (IS) nowadays record data, which can be used for the purpose of business process analysis using process mining (PM) techniques. However, the usability of such data for business process analysis is limited through lifecycle extension model of recorded events. Thus, it is necessary to consider in what form should IS record data, even though company´s management does not initially intend to use such data. The purpose of the research is to show the importance of lifecycle extension model and impact of different forms of lifecycle extension model on business process analysis with focus on implementation of robotic process automation (RPA). We analyzed three publicly available data sets with different forms of lifecycle extension models of recorded events using PM and compared the impact of given forms of lifecycle extension models on the analysis of business processes when used for the implementation of RPA. Based on our analysis, we recommend which forms of lifecycle transition should be used.