University of Twente Student Theses
Data science for service design : an exploration of the opportunities, challenges and methods for data mining to support the service design process
Kunneman, Y.J. (2019) Data science for service design : an exploration of the opportunities, challenges and methods for data mining to support the service design process.
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| Abstract: | This research identifies the opportunities for data science to support the service design process through exploration of data science methods for service designers. Designers and their teams search for a data tech- niques overview from their perspective as designers, while current liter- ature is fragmented and technical. This research explores methods to help them get started. It evaluates if the techniques meet the designer’s needs and fit the design process with user-centred activities, such as shadowing sessions and workshops. As a result, this thesis contribute to the diversity of the designers’ methodology toolkit. They increase the validity of user research, make hidden information accessible with spe- cialised user research tools and help designers in their creative process through relevant resources, inspiration and an alternative perspective. Together these results encourage organisations to mature with data sci- ence resources for design projects so that their services benefit from more informed designers. |
| Item Type: | Essay (Master) |
| Faculty: | ET: Engineering Technology |
| Subject: | 20 art studies, 54 computer science |
| Programme: | Industrial Design Engineering MSc (66955) |
| Link to this item: | https://purl.utwente.nl/essays/80486 |
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