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When developing an application for production, end-user questionnaires are a rapid way of acquiring user evaluations about the product’s usability. These questionnaires include topics such as the base of the application, user interface, and various ailments related to the application, to say the least. Multiple types of questionnaires and methods have been developed to assist developers with feedback acquisition. However, with such a wide-range of disciplines, there is not a standard used by all developers in the research community. Furthermore, as applications are delivered using various devices, such as mobile, desktop, and now XR, new questionnaires have arisen. Compiling these evaluations leads to a large number of questions (100+), a multitude of redundancies, and difficulty comparing related applications due to lack of a solidified system. Furthermore, XR development requires unique feedback that typical presentations of data and engagement do not contain. In this work, we create a concise subset of questions, on a 5-point likert scale, that remove redundancies and allows for comprehensive statistical analysis, allowing developers to measure differences in populations more readily.