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Att hitta användbarhetsproblem med Google Analytics - är det möjligt?
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
2016 (Swedish)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The scope of research is usability problems and web analytics. This thesis examines

whether or nor Google Analytics can point out the usability problems a website has,

and describes the process of usability analysis of the two websites belonging to the

organisation ArtDatabanken. The research is divided into two parts. The first part

describes the collection of the usability problems ArtDatabanken had and what

usability problems that were identified. The second part describes the

Google Analytics analysis of the usability problems that were possible to investigate,

how the study was designed and the result from that investigation. Finally, some

recommendations are given on how Google Analytics should be improved to more

effectively find potential usability problems. The results of the research show that

Google Analytics can find some of the identified usability problems, but the automatic

implementation and its standard reports is not effective enough. By tracking all of the

events at the site, a better understanding of what users are doing during their visits

could be obtained. This together with some changes of the built-in reports would

increase the possibilities to find potential usability problems by using Google


Place, publisher, year, edition, pages
UPTEC STS, ISSN 1650-8319 ; 16041
Keyword [sv]
Google Analytics, Användbarhet, Expertutvärdering, Användbarhetstester
National Category
Human Computer Interaction
URN: urn:nbn:se:uu:diva-306925OAI: diva2:1044736
Educational program
Systems in Technology and Society Programme
Available from: 2016-11-16 Created: 2016-11-05 Last updated: 2016-11-16Bibliographically approved

Open Access in DiVA

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