Digital transformation of industrial areas resulted in new products and services that build upon innovative technologies and enable new kinds of business models. Quantified products (QP) are such a kind of new product category that exploits data of on-board sensors. A quantified product is a product whose instances collect data about themselves that can be measured, or, by design, leave traces of data. This paper aims at contributing to a better understanding what design dependencies exist between product, service and ecosystem. For this purpose, we combine the analysis of features of QP potentially affecting design with an analysis of QP case studies for validating the suitability and pertinence of the features. Main contributions of this paper are (1) two case studies showing QP development, (2) a set of features of QPs derived from the cases and (3) a feature model showing design dependencies of these feature.