Abstract
Multidisciplinary teamwork is a key requirement in the design thinking approach to innovation. Previous research has shown that team coaching is an effective way to improve team performance. However, the tools currently available for effective team coaching are limited to heuristics derived from either experienced design thinking professionals or clinical psychology practitioners. Our research aims to improve this situation by providing design thinking managers, coaches, and instructors a reliable instrument for measuring design team performance. In this chapter, we present the underlying methodology for instrument design. The development of a specific diagnostic instrument, based on a visual notation called the Interaction Dynamics Notation, is explained in terms of both the workflow of data through the instrument and the exploratory studies conducted to design the instrument user interface.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baird D (2004) Thing knowledge: a philosophy of scientific instruments. University of California Press, Berkeley, CA
Brandt PA (2004) Spaces, domains, and meaning. Essays in cognitive semiotics, European semiotics series, vol. 4. Peter Lang AG, Bern
Brown T (2008) Design thinking. Harv Bus Rev 86(6):84
Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20(1):37–46
Dorst K (2011) The core of ‘design thinking’ and its application. Des Stud 32(6):521–532
Hubert L (1977) Kappa revisited. Psychol Bull 84(2):289
Johansson‐Sköldberg U, Woodilla J, Çetinkaya M (2013) Design thinking: past, present and possible futures. Creativity Innov Manag 22(2):121–146
Kolko J (2015) Design thinking comes of age. Harvard Business Review 93(9):66–71
Lakoff G, Johnson M (2008) Metaphors we live by. University of Chicago Press, Chicago, IL
Rauth I, Köppen E, Jobst B, Meinel C (2010) Design thinking: an educational model towards creative confidence. In: DS 66–2: Proceedings of the 1st International Conference on Design Creativity, Kobe, Japan
Sonalkar N, Mabogunje A, Leifer L (2013) Developing a visual representation to characterize moment-to-moment concept generation in design teams. Int J Des Creativity Innov 1(2):93–108
Talmy L (1988) Force dynamics in language and cognition. Cogn Sci 12(1):49–100
Yujian L, Bo L (2007) A normalized Levenshtein distance metric. IEEE Trans Pattern Anal Mach Intell 29(6):1091–1095
Ziółko B, Gałka J, Jadczyk T, Skurzok D (2010) Modified weighted Levenshtein distance in automatic speech recognition. In: Proceeding of 16th Conference on Applications of Mathematics, Krynica, Poland
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Sonalkar, N., Mabogunje, A., Hoster, H., Roth, B. (2016). Developing Instrumentation for Design Thinking Team Performance. In: Plattner, H., Meinel, C., Leifer, L. (eds) Design Thinking Research. Understanding Innovation. Springer, Cham. https://doi.org/10.1007/978-3-319-40382-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-40382-3_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40381-6
Online ISBN: 978-3-319-40382-3
eBook Packages: Business and ManagementBusiness and Management (R0)