The Radio Neutrino Observatory in Greenland (RNO-G) aims to detect ultra-high-energy (UHE) neutrinos using radio technology. The detector array is planned to consist of 35 individual stations when finished and is currently under construction. As of March 2026, eight of these stations have already been commissioned with more to follow each year. To enable an efficient and effective installation in the limited time that the team can be in Greenland, it is crucial to verify that each newly deployed or updated station performs as expected. Newly installed stations must be tested to check for potential defects or installation errors. Moreover, these tests should be performed regularly during data-taking periods, as unexpected issues can arise over time. These issues, such as environmental effects, component aging or other changes during operation, need to be identified early, highlighting the importance of having a dedicated framework. The Science Verification Analysis (SVA) for RNO-G was developed for this purpose. The SVA is being continuously improved and provides a useful approach for future radio experiments, such as IceCube-Gen2. This contribution presents the current methods of the Science Verification Analysis and demonstrates their application to RNO-G data.