Better knowledge of user behaviour and needs leads to better design of the structure and functions of information systems.

When preparing the integration of data into the platform in the Digitalia MUNI ATRS infrastructure, the user, their requirements, needs, practices and experiences are always at the centre of our work. In order not to force users to adapt to technology, but rather to adapt technology to the habits and demands of users, we use several methods and practices from the field of user studies:

  • Human-centered design: Before work begins, we research the requirements and research practices of the commissioners, creators, and researchers collecting, generating, or interpreting the data. After identifying all stakeholders, we conduct individual semi-structured interviews. In case we transfer an existing system, we conduct micro timeline interviews to understand the situatedness of the researchers' research practices. The result is a list of requirements and features with prioritization and estimated time and cost requirements, which serve as input for the subsequent platform design.
  • User testing: After the platform conversion is complete, we collect feedback from the researchers—sponsors. Using the personas method, we create user testing scenarios and test the intuitiveness, usability, and usefulness of the prepared design with potential users of the platform. Based on the results, the platform is redesigned.
  • User modelling: When the platform is launched, the analytics application Matomo is deployed to collect data on how the platform is used. The data collected is anonymised, but even in anonymised form, user data is not provided to third parties. It is used solely for research purposes to improve the services and functioning of the platforms and to present traffic data to the platform operators. By analysing the logs using machine learning, we identify changes and problems in the use of the platforms, with subsequent redesign or further rounds of user testing.

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