DATA THINKING TOWARDS A DATA-DRIVEN DESIGN THINKING TAXONOMY
- The paper tries to provide a first data-informed taxonomy of Design Thinking. In addition to that it presents a set of prototypes of tools that could be used during data-oriented Design Thinking Workshops, or Data Thinking Workshops (DTW). New products and services increasingly follow a data-driven strategy. This creates the need for designers to create products and services with data in mind at the beginning of the innovation circle. A common technique used is Design Thinking that has a very narrow view on data so far. Hence, the first part of the paper analyzes the core principles of design processes and derives a data-informed Design Thinking taxonomy. Additionally, the paper provides a set of tools that incorporate this data-informed Design Thinking taxonomy. Using an action design research approach, the DTW format is tested and the results are analyzed using a triangulation approach. The suggested data-driven Design Thinking taxonomy and the proposed format of DTWs and the provided tools are of potential benefit for designers focusing on developing more digital, data-driven products and services. These help designers sharpen their perspective on data challenges and come up with a more holistic view on data in their products and services. While the tools suggested in this paper in general work, several newly raised questions and considerations for further research can be derived by the findings. It is hoped this paper will help designers to further develop the taxonomy as well as come up with new tools that can place data at the core of the design process.
Author: | Tizian Kronsbein |
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Referee: | Roland Müller |
Advisor: | Avo Schönbohm |
Document Type: | Master's Thesis |
Language: | English |
Date of first Publication: | 2019/09/03 |
Publishing Institution: | Hochschulbibliothek HWR Berlin |
Granting Institution: | Hochschule für Wirtschaft und Recht Berlin |
Date of final exam: | 2018/01/24 |
Release Date: | 2019/09/03 |
Tag: | Artifact Design Action Design Research; Big Data; Data Thinking; Design Thinking; Digital Innovation |
Page Number: | 106 |
Institutes: | FB I - Wirtschaftswissenschaften / Business Intelligence and Process Management M.Sc. |
Licence (German): | Urheberrechtsschutz |