Low-fidelity policy design, within-design feedback, and the Universal Credit case

Jonathan Craft*, Reut Marciano

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Policy design approaches currently pay insufficient attention to feedback that occurs during the design process. Addressing this endogenous policy design feedback gap is pressing as policymakers can adopt ‘low-fidelity’ design approaches featuring compressed and iterative feedback-rich design cycles. We argue that within-design feedback can be oriented to the components of policy designs (instruments and objectives) and serve to reinforce or undermine them during the design process. We develop four types of low-fidelity design contingent upon the quality of feedback available to designers and their ability to integrate it into policy design processes: confident iteration and stress testing, advocacy and hacking, tinkering and shots in the dark, or coping. We illustrate the utility of the approach and variation in the types, use, and impacts of within-design feedback and low-fidelity policy design through an examination of the UK’s Universal Credit policy.

Original languageEnglish
Pages (from-to)83-99
Number of pages17
JournalPolicy Sciences
Volume57
Issue number1
DOIs
StatePublished - Mar 2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

Keywords

  • Digital government
  • Feedback
  • Formulation
  • Human-centered design
  • Policy design
  • Universal Credit

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