Skip to main content

Measuring the Impact of Design Thinking

  • Chapter
Design Thinking Research

Part of the book series: Understanding Innovation ((UNDINNO))

Abstract

This article focuses on how organizations measure the impact of design thinking. The results are based on a quantitative survey that is complemented by qualitative interviews with experienced design thinkers. Even though a majority of respondents perceive some kind of impact, only a minority has tried to determine the impact in some way. Those who do not evaluate the impact, often do not know how or lack the necessary resources. The metrics of those who do measure design thinking’s impact vary considerably, but customer feedback and satisfaction is a recurring theme. We propose that the traditional means of performance measurements are often ill-suited for evaluating the impact of design thinking. We conclude with a promising industry example of how traditional measures can be used to gauge overall performance and how a story-based approach can capture the role of design thinking.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The data presented in this chapter is part of a larger study on the situation of design thinking in organizations and can be accessed here: http://thisisdesignthinking.net

  2. 2.

    http://www.qualtrics.com

  3. 3.

    If two or more participants were from the same organization, that organization was counted once.

  4. 4.

    The strong representation of information and communication organizations might be due to the fact that many of our survey participants have or have had ties to the IT Systems Engineering division of Hasso Plattner Institute and therefore an immanent IT focus in their work. Another explanation could be that the IT sector faces high innovation pressure caused by digitization and user empowerment. From experience we know that design thinking heavily resonates in those (ICT) environments. Therefore it may not be surprising that the many responses from the IT sector are representative of its role at the forefront of organizations that have to react faster than others.

  5. 5.

    For better readability we corrected obvious misspellings and adjusted initial capital/lowercase letters without comment according to the Chicago Manual of Style (2010). Additionally, we converted capital to lowercase letters within quoted passages for general terms and references to bodies or concepts, also without comment. Many of our respondents were not native speakers of English. Therefore, their statements might not always correspond to Standard English.

  6. 6.

    Unfortunately, some measurements were described in terms so vague that they were impossible to interpret.

  7. 7.

    The butterfly effect is a concept stemming from chaos theory. It postulates that small events in a complex system can have large, widespread consequences. In hindsight, it is nearly impossible to isolate specific causes (Hilborn 2004).

  8. 8.

    The catalyst program allows employees with regular jobs but trained in design thinking—so-called innovation catalysts—to spend 10 % of their working hours to coach workshops.

  9. 9.

    Questions based on concrete action could be: “Do you record the number of design thinking projects?” or “Do you collect customer feedback?”

References

  • Carlgren L, Elmquist M, Rauth I (2013) Demystifying design thinking: a conceptual framing of design thinking in use. Draft, Goteburg

    Google Scholar 

  • Eisenhardt K (1989) Building theories from case study research. Acad Manage Rev 14(4):532–550

    Google Scholar 

  • Eisenhardt K, Graebner M (2007) Theory building from cases: opportunities and challenges. Acad Manage J 50(1):25–32

    Article  Google Scholar 

  • European Commission (2003) Recommendation 2003/361/EC: SME definition. http://ec.europa.eu/enterprise/policies/sme/facts-figures-analysis/sme-definition/index_en.htm. Accessed 18 Nov 2014

  • Hilborn R (2004) Sea gulls, butterflies, and grasshoppers: a brief history of the butterfly effect in nonlinear dynamics. Am J Phys 72:425

    Article  Google Scholar 

  • Köppen E, Meinel C (2015) Empathy via design thinking: creation of sense and knowledge. In: Plattner H et al (eds) Design thinking research. Springer, Heidelberg

    Google Scholar 

  • Lindberg T, Noweski C, Meinel C (2010) Evolving discourses on design thinking: how design cognition inspires meta-disciplinary creative collaboration. Technoetic Arts 8(1):31–37

    Article  Google Scholar 

  • Rhinow H, Meinel C (2014) Design thinking: Expectations for a management perspective. In: Plattner H et al (eds) Design thinking research: understanding innovation. Springer International Publishing, Heidelberg, pp 239–252

    Chapter  Google Scholar 

  • Richard PJ, Devinney TM, Yip GS, Johnson G (2009) Measuring organizational performance: towards methodological best practice. J Manage 35(3):718–804. doi:10.1177/0149206308330560

    Google Scholar 

  • Schepurek S, Dulkeith E (2013) Innovation performance measurement: KPIs for goal-setting. Paper presented at the XXIV ISPIM conference—innovating in global markets: challenges for sustainable growth, Helsinki, Finland, 16–19 June 2013

    Google Scholar 

  • United Nations Statistics Division (2008) International standard industrial classification of all economic activities (ISIC), Rev.4 classification scheme for determining the industry sectors. http://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=27&Lg=1. Accessed 18 Nov 2014

  • University of Chicago (2010) The Chicago manual of style, 16th edn. University of Chicago Press, Chicago

    Google Scholar 

  • Weick KE, Sutcliffe KM, Obstfeld D (1999) Organizing for high reliability: processes of collective mindfulness. Res Organ Behav 1:81–123

    Google Scholar 

Download references

Acknowledgments

All results are part of a survey on the impact of Design Thinking in organizations. We would like to thank Prof. Hasso Plattner and the HPI-Stanford Design Thinking Research Program Committee for their support. We thank Dr. Sharon Nemeth for her editorial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Schmiedgen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Schmiedgen, J., Spille, L., Köppen, E., Rhinow, H., Meinel, C. (2016). Measuring the Impact of Design Thinking. In: Plattner, H., Meinel, C., Leifer, L. (eds) Design Thinking Research. Understanding Innovation. Springer, Cham. https://doi.org/10.1007/978-3-319-19641-1_11

Download citation

Publish with us

Policies and ethics