The project “Schaufenster Sichere Digitale Identitäten Karlsruhe” (engl. Showcase Secure Digital Identities Karlsruhe, short SDIKA) is one of four nationwide projects funded by the German Federal Ministry of Economics and Climate Protection (BMWK) as part of the showcase program “Secure Digital Identities”. SDIKA aims to realize wide-ranging, cross-use-case identities in open ecosystems. To achieve this goal, the system must be usable and secure for end users, otherwise there is a risk that the system will not be accepted by software end users. A high user experience (UX) is not only a quality requirement of software, it can also have a negative or positive influence on the information security of the software in use. Information security mechanisms can be misused or even ignored by end users if the system has UX deficits. In addition, Mechanisms that lead to complex operating processes may also result in the system not being used. In order to design systems that have good UX and protect information in an adequate way that both individual aspects on the one hand and the overall effect on the other hand meet the requirements, methods are useful for evaluating the relation. This paper gives an overview of such analysis methods (after a systematic literature review from Max Sauer et al. that will be published in future) and selects suitable analysis methods for the SDIKA project using defined selection criteria.