Problem frames are a relatively new approach to requirements engineering, promising benefits not only in elicitation but also in subsequent design, by allowing their users to select methods and techniques appropriate to their given problem domain. In order to be effective this approach relies upon the correct identification of relevant problem frames for a given problem or scenario. Hence, we examine whether people are able to identify the correct (relevant) frames for a given set of problem descriptions, and whether they can correctly gauge the relative contribution of each identified frame to the given problem. We note the Euclidean distance of (individual and group) answers from an expert solution, considering each problem frame as a separate dimension. Examination of this distance (or magnitude of error) allows us to gauge the accuracy with which people can assign problem frames. We compare the performance of individuals within groups, and the performance where groups work together...