Rapid assessment methods (RAMs) have become an integral part of state and federal wetland programs by providing a consistent method for monitoring and prioritizing wetland conservation efforts. RAMs evaluate condition along an anthropogenic disturbance gradient based on qualitative and quantitative measures of wetland indicators. However, RAM applicability outside of the intended region may be difficult or inappropriate due to differences in wetland types, natural variability, and types of stressors. Given the influence of regional and wetland variability on the effectiveness of RAMs, our approach focused on the development and validation of a method applicable to specific wetland types found in Oklahoma and other regions in the Central Great Plains. We applied the Oklahoma Rapid Assessment Method (OKRAM) in 28 depressional wetlands across the state and evaluated the method’s ability to detect condition along a disturbance gradient. We found consistent relationships between OKRAM scores and plant data (e.g., Floristic Quality Index, species richness, and diversity) and with a landscape assessment of anthropogenic disturbance. Based on our results, OKRAM has utility as a tool for differentiating between high and low quality depressional wetlands in Oklahoma, with potential for applicability across other regions of the Central Great Plains.