{"ID":2871719,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.10064","arxiv_id":"2509.10064","title":"From customer survey feedback to software improvements: Leveraging the full potential of data","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.","short_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 pap...","url_abs":"https://arxiv.org/abs/2509.10064","url_pdf":"https://arxiv.org/pdf/2509.10064v1","authors":"[\"Erik Bertram\",\"Nina Hollender\",\"Sebastian Juhl\",\"Sandra Loop\",\"Martin Schrepp\"]","published":"2025-09-12T08:51:33Z","proceeding":"cs.HC","tasks":"[\"cs.HC\"]","methods":"[]","has_code":false}