Design thinking is widely recognized as an effective problem solving approach in the professional and academic world, albeit with varying interpretations. It has been studied in multiple forms – as a tool, a practice, a skill, and a mindset – leading to ongoing debates about its fundamental nature. This study aims to explore the use of design thinking in practice and determine how its application varies depending on the characteristics of the innovation projects, namely the types of goals pursued and the level of uncertainty involved.
Using a survey methodology and a knowledge-intensive empirical setting, this study analyzes a dataset of 221 innovation consulting projects based on design thinking conducted by European consulting firms and design agencies.
By analyzing the survey data, we identify six distinct sets of design thinking practices: discovering user needs, understanding the problem addressed, challenging existing assumptions, navigating the problem-solution pair, ideating through visualizations, and learning through prototypes. We also identify configurations of these design thinking practices that are used to address different innovation project goals and levels of uncertainty.
The study draws attention to the need for design thinking practitioners to be aware of how different innovation project goals and levels of uncertainty can be pursued/addressed through the use of alternative configurations of design thinking practices.
This study is one of the first large-scale quantitative analyses of the nature of design thinking in action, providing a solid foundation for future research on design thinking.