From customer survey feedback to software improvements: Leveraging the full potential of data

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Authors Erik Bertram, Nina Hollender, Sebastian Juhl, Sandra Loop, Martin Schrepp arXiv ID 2509.10064 Category cs.HC: Human-Computer Interaction Citations 0 Venue InteracciΓ³n Last Checked 4 months ago
Abstract
Converting customer survey feedback data into usable insights has always been a great challenge for large software enterprises. Despite the improvements on this field, a major obstacle often remains when drawing the right conclusions out of the data and channeling them into the software development process. In this paper we present a practical end-to-end approach of how to extract useful information out of a data set and leverage the information to drive change. We describe how to choose the right metrics to measure, gather appropriate feedback from customer end-users, analyze the data by leveraging methods from inferential statistics, make the data transparent, and finally drive change with the results. Furthermore, we present an example of a UX prototype dashboard that can be used to communicate the analyses to stakeholders within the company.
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