Digital forensic investigation is a complex and time-consuming activity in response to a cybersecurity incident or cybercrime to answer questions related to it. These typically are what happened, when, where, how, and who is responsible. However, answering them is often very laborious and sometimes outright impossible due to a lack of useable data. The forensic-ready software systems are designed to produce valuable on-point data for use in the investigation with potentially high evidence value. Still, the particular ways to develop these systems are currently not explored. This paper proposes consideration of forensic readiness within security risk management to refine specific requirements on forensic-ready software systems. The idea is to re-evaluate the taken security risk decisions with the aim to provide trustable data when the security measures fail. Additionally, it also considers possible disputes, which the digital evidence can solve. Our proposed approach, risk-oriented forensic-ready design, composes of two parts: (1) process guiding the identification of the requirements in the form of potential evidence sources, and (2) supporting BPMN notation capturing the potential evidence sources and their relationship. Together they are aimed to provide a high-level overview of the forensic-ready requirements within the system. Finally, the approach is demonstrated on an automated valet parking scenario, followed by a discussion regarding its impact and usefulness within the forensic readiness effort.