The following degree project is written within the department of Information Technology at Uppsala University. The subject studied is the difference between academic user research and such user research performed by professionals at commercially driven companies. Academic’s and professional’s agendas, interests and approaches seem to differ and consequently a gap emerges. To perform a comparison between academically defined and practically defined user research a case study and a literature study were conducted. During the literature study three main academic approaches to perform user research were studied and summarized in a unified view. The case study was performed over 4 months at Spotify in the User Research team to gain insights into how user research is conducted in a commercially driven company. The degree project shows that academics and professionals can benefit from each other. For example, academics can integrate various mix methods to better understand design and concepts and base assumptions on more reliable data. Professionals can benefit from academics by adapting a similar systematic approach to perform user research and have a larger impact on the development.

Building Information Modeling (BIM) is becoming imperative across building disciplines to improve communication and workflow from the first blueprint. Maintenance and facility management is however lagging behind in adoption and research of BIM. Utilizing research-through-design, this study explores BIM-enabled facility management and the critical practice of decision-making at the Celsius building in Uppsala. Contextual design and inquiry were applied to identify and suggest important design features that support decisions related to the task of establishing maximum room occupation. Results show that facility managers can make use of fuzzy multicriteria decision-making and expert heuristics to independently reach conclusions. Important design features were found to heavily rely on the existing building models, where context-view filtered to room capacity data in the existing BIM-system effectively supported the users’ assessment of data. The filtered, aggregated information presented in a simplified mobile format was insufficient for decision-making, suggesting that the building model was more important than initially perceived.