Listening what is important

The open questioning of pain points or delighters is part of many surveys, and yet the qualitative insights hidden in the open comments often remain underexposed and isolated because they are not included in the quantitative analysis process on an equal basis. In the concluding third part of our series on preference measurement methods, we therefore address the question of how indicator analysis can be used to leverage open feedback for prioritizing measures.

With indicator analysis, we introduce a triangulation method that is able to open up the closed nature of the process. Indicator analysis starts where direct and indirect methods have their blind spot, because they can only determine the relevance of aspects that were considered in the questionnaire design. This content-related closedness of the direct and indirect prioritization process systematically hides the unknown, the surprising, the unsupported, the qualitative, in short: everything unclear and diffuse. Indicator analysis addresses this blind spot. Its goal is to achieve a systematic inclusion of open feedback in the context of relevance analysis.

Download publication (published in Planung & Analyse, 4, 2022)

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