Data sets often contain personal data that are not needed for analysis. Statistical Disclosure Control (SDC) is a personal data minimizing technology to reduce personal data in a data set while maintaining the utility of the data set at an acceptable level. SDC tools usage lags due to the complexity encountered by users. The aim of the research in this paper is to reduce the complexity of SDC tools via improving their ease of use. For this study information system adoption literature is reviewed, some usability challenges are identified, and a User Interface (UI) prototype is developed. From the literature, some design principles are derived related to minimal memory, feature self-descriptiveness, user guidance, navigability, minimal action, and UI familiarity. Based on these principles, a prototype is developed and evaluated. The findings suggest that the designed UI overcomes the identified UI-related issues of an SDC tool called ARX but show no significance in reducing the complexity associated with the SDC-related complexity. The findings suggest that while reducing the complexity of the UI might be a good approach to address the problem of adopting SDC technology within organizations, there is a need for complementary approaches to increase the usability and adoption of an SDC tool.@en