Asking Effective Questions

Awareness of Bias in Designerly Thinking

Book Chapter (2021)
Author(s)

R.A. Price (TU Delft - Responsible Marketing and Consumer Behavior)

PA Lloyd (TU Delft - DesIgning Value in Ecosystems)

Research Group
Responsible Marketing and Consumer Behavior
Copyright
© 2021 R.A. Price, P.A. Lloyd
DOI related publication
https://doi.org/10.1007/978-3-030-81159-4_24
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 R.A. Price, P.A. Lloyd
Research Group
Responsible Marketing and Consumer Behavior
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
789-804
ISBN (print)
978-3-030-81158-7
ISBN (electronic)
978-3-030-81159-4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The formulation of questions in processes of design is an activity affected by cognitive biases inherent to humans. Cognitive biases, developed through gaining experience, influence how decisions are made during problem solving. When an outcome is predictable, experience provides mental shortcuts or heuristics to enable the problem solver to act effectively. When an outcome is uncertain, cognitive biases can wrongfully project preconceptions, elevate self-interest, and undermine the problem solver’s greater ambitions for positive impact. Mitigating cognitive bias is thus vital for design problem solving under conditions of uncertainty. Designers explore uncertainty through an approach typified by human empathy, problem framing, and creativity. This chapter reveals the nature of asking effective questions within designerly thinking. This means understanding nuances of context, surfacing novel insights about how a system performs, and crucially working out how people within systems experience the world around them.

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