Planning the Analysis of Use Phase Data in Product Planning

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Maurice Meyer (1), Ingrid Wiederkehr (1), Christian Koldewey (1), Roman Dumitrescu (1,2)
Series: DESIGN
Institution: 1: Heinz Nixdorf Institute, Paderborn University, Germany; 2: Fraunhofer IEM, Germany
Section: Design Information and Knowledge
Page(s): 753-762
DOI number: https://doi.org/10.1017/pds.2022.77
ISSN: 2732-527X (Online)

Abstract

The ongoing digitalization of products offers product managers new potentials to plan future product generations based on data from the use phase instead of assumptions. However, product managers often face difficulties in identifying promising opportunities for analyzing use phase data. In this paper, we propose a method for planning the analysis of use phase data in product planning. It leads product managers from the identification of promising investigation needs to the derivation of specific use cases. The application of the method is shown using the example of a manufacturing company.

Keywords: data-driven design, early design phase, product planning, big data analysis, industrial data analytics