The use of artificial intelligence models is changing the relationship between organizations and consumers, and the volume of digital products dependent on personal data is growing every day. Privacy policies are the primary tool for informing citizens about how their information will be handled by companies with which they interact. However, currently, the interfaces of these instruments do not objectively communicate their information. The present study demonstrates that the application of design guidelines in privacy policies promotes a more satisfactory experience and faster user acquisition of information from its content. The study methodology encompassed a bibliographical review, documentary research, adjustment of the Internet Users Information Privacy Concerns scale, usability testing, and content analysis. Literature from law and design fields could be interconnected to identify legal requirements that could be addressed more effectively through design, the level of privacy concern of the study s participants was verified, and a comparative usability test was conducted. A replica of Facebook s policy was compared to a new interface, which included elements that represented design guidelines. The data showed a reduction in the time to find information, the error rate among users who accessed the new proposal, and a higher frequency of positive statements regarding this version. This research enhances the understanding of how interface design affects the creation of such instruments by showing that following best practices in this area facilitates information acquisition.