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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2509.10064 |
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| _version_ | 1866909783601184768 |
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| author | Bertram, Erik Hollender, Nina Juhl, Sebastian Loop, Sandra Schrepp, Martin |
| author_facet | Bertram, Erik Hollender, Nina Juhl, Sebastian Loop, Sandra Schrepp, Martin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_10064 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From customer survey feedback to software improvements: Leveraging the full potential of data Bertram, Erik Hollender, Nina Juhl, Sebastian Loop, Sandra Schrepp, Martin Human-Computer Interaction 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. |
| title | From customer survey feedback to software improvements: Leveraging the full potential of data |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2509.10064 |