Attitudinal data is information about the attitudes, beliefs, and opinions of individuals or groups. Attitudinal data can be collected through methods such as surveys, interviews, or focus groups, and can provide valuable insights into the attitudes and perspectives of individuals or groups. Attitudinal data is often analyzed qualitatively, using techniques such as coding or content analysis, in order to identify common themes and patterns within the data. In UX (user experience) research, attitudinal data can provide important information about the perceptions and experiences of users of a digital product or service, and can help researchers to understand the factors that influence user attitudes and opinions. For example, attitudinal data can be used to understand user satisfaction with a digital product or service, to identify user needs and preferences, or to evaluate the effectiveness of design solutions. By collecting and analyzing attitudinal data, UX researchers can gain a better understanding of user attitudes and opinions, and can use this information to inform the design of digital products and services.