The H2Giga-FRHY research project is about researching the high-rate production of electrolyzer stacks. In the project, software services provide product manufacturers with insights and hints based on data analysis by linking the faults and performance of electrolyzer stacks with their production parameters. These software services support data-driven product development and were derived based on a requirements analysis of their underlying functionality. This promotes effective knowledge management, which enriches decision-making in product development, by making relevant data and findings available to product developers and experts. These requirements originate from researchers in the project. In this context, the question arises of which further use cases could be considered to facilitate data-driven product development. For this purpose, the paper takes up previous work on the classification of use cases and examines the extent to which these use cases are confirmed by literature. A systematic literature analysis is carried out for this aim - both the methodology applied and the findings and their allocation to existing use cases are shown. The entire endeavor is also integrated into the project context and the data-driven product development domain.