Digital identities function as electronic representations of persons, organizations or other entities in virtual space. Their main purpose is to verify the identity of a person or – more generally, an entity – online and to regulate their access to digital resources, systems or services. Currently, digital identities require the creation of numerous different accounts. The long-term plan is to solve this problem by introducing digital identity wallets, such as the EUDI wallet introduced in EIDAS 2. These wallets allow users to manage and use their digital identities as well as verification documents such as ID cards or driving licenses by storing all relevant data in one place on their devices. This allows users to retain control over their data and decide for themselves what information they wish to disclose. A good user experience (UX) is crucial for the successful use of wallets, as this reduces the susceptibility to errors and makes it easier to store, manage and share sensitive identity data. However, current research shows that the wallets developed to date have room for improvement regarding UX. For example, users have difficulties understanding the concept of these wallets. It is thus required to identify UX issues and improve the UX of wallets. In order to gain suggestions for improving, a UX evaluation was conducted in the project ‘Showcase Secure Digital Identities Karlsruhe’ (short: SDIKA) funded by the German Federal Ministry of Economics and Climate Action (BMWK). To this end, 24 different test subjects were involved in the UX evaluation in order to test an internal project prototype involving the wallet used in the project for demonstration purposes. The prototype includes a mobility platform called ‘regiomove’, in which a car-sharing provider is to be activated. The activation is done inside the mobility app with a driving license using a fictitious video identification procedure. The test subjects were then asked to export their driving licenses from regiomove to their wallet, so it could be used in further applications. Eye tracking, thinking aloud and two questionnaires (SUS and UEQ-S) were used for the UX evaluation.