Combining service design and discrete choice experiments for intervention design: An application to weather index insurance

Naira Dehmel, Ylva Ran, Matthew Osborne, Arjan Verschoor, Fiona Lambe, Joshua Balungira, Giovanni Tabacco, Borja Perez-Viana, Erik Widmark, Stefan Holmlid

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
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In this paper we provide a detailed description of the methodological steps involved in conducting a Service Design study in combination with Discrete Choice Experiments (DCEs). It complements the conceptual and epistemological argument developed for this methodological combination in Osborne et al. (2021, World Development, in review WD-19535). Service Design for the co-creative development of policy interventions in complex adaptive systems involves an iterative process of moving between the six methodological stages of (1) problem co-definition, (2) actor-centred mapping, (3) experience-based problem diagnosis, (4) rapid prototyping, (5) design and testing and (6) upscaling. We suggest using DCEs as a quantitative method that is contextually adaptable and comparatively fast and cheap to implement, as part of stage (6) design and testing. Whilst both methods can operate independently with their own strengths and limitations, we find their combination to add value to the processes and outcomes of each. We illustrate the general methodological approach with a step-by-step description of its application to Weather Index Insurance in eastern Uganda.
Original languageEnglish
Article number101513
Early online date8 Sep 2021
Publication statusPublished - 2021


  • Climate insurance
  • Combining Service Design Thinking and Discrete Choice Experiments
  • Complex adaptive systems
  • Design thinking
  • Development programming
  • Stated preference methodology
  • Uganda

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