Global ocean forecast systems, developed under the Global Ocean Data Assimilation Experiment (GODAE), can be used to assess the impact of different components of the Global Ocean Observing System (GOOS). GODAE systems can be exploited to help identify observational gaps and to ultimately improve the efficiency and effectiveness of the GOOS for constraining ocean models for ocean prediction and reanalysis. Many tools are currently being used by the GODAE community to evaluate the GOOS. Observing System Experiments, where different components of the GOOS are systematically with-held, can help quantify the extent to which the skill of a model depends on each observation type. Various other techniques, including observing system simulation experiments, adjoint-and ensemble-based approaches, can be used to aid the design and evaluation of ocean observing systems. A suite of examples using these methods to evaluate the GOOS from a GODAE perspective are presented in this paper. Also included in this paper is a proposed plan to move these activities towards routine monitoring of the GOOS using operational GODAE systems.