The digital world has witnessed an unparalleled surge in social online gaming platforms, with Roblox standing out as a prominent platform that predominantly attracts younger users. Unfortunately, these gaming platforms are also targeted by malicious criminals seeking to exploit them. Conducting digital forensic investigations into the various artifacts generated by Roblox can provide valuable insights into user activities, potentially uncovering evidence of user behavior, interactions, and digital footprints within the platform, thus aiding in the investigation of suspicious activities. This paper delves into digital forensic methodologies to examine and analyze digital artifacts from Roblox from memory, disk, and network perspectives. Our research reveals various retrieved artifacts, including user information, chat logs, user groups, gameplay details, and in-app purchases. Furthermore, we demonstrate that to thoroughly retrieve artifacts related to all possible user activities, it is crucial to investigate various focus areas such as memory, disk, and network. This approach enables us to successfully piece together and cross-reference almost the entire timeline of user activities.