Framework for the Continuous Increase of Product Performance by Analyzing Product Usage Data Todayu0027s manufacturing companies in the machinery and plant engineering sector are facing increasingly shorter innovation and technology cycles. As a consequence, admired features of their products are rapidly changing to standard features in the customeru0027s perception. Thus, product optimizations during the product life cycle are gaining in importance. Taking this into consideration, subscription models provide a business framework which aims for a continuous improvement of product performance in return for a periodic payment during the product use phase. In order to define this performance, the challenge is to precisely focus on those product features providing the highest contribution to the specific customer benefit and to detect optimization potentials on the existing product. Smart products, which permanently provide product usage data through chips, processors and embedded systems, offer new possibilities on both tracking the current status of a product feature and deduce optimization potentials. This paper introduces a framework to increase product performance by investigating specific product features. Optimization measures shall be identified and deduced by the systematic analysis of product usage data.

Use of Pull Product Development for Enhancing Lean Startups To succeed in product development starting from new product concepts is a challenging task. The lean startup methodology (LSM) enables on agile testing and learning cycle to validate hypotheses at the product ideaconcept generation level when traditional stagegate product development process is too resource consuming and is lacking speed to market. Lean startups are significantly challenged by subsequent financial and related other resource restrictions and subsequently it leads to minimal viable products (MVPs). An MVP provides minimum sufficient product features to satisfy early consumers in which provide feedback and revenue for future product development i.e. product market fit. When there are many previously developed MVPs in the market. It is not clear how to pull them to be the products with minimum viable product features (MVPFs) as the consumer demands rise over the time. This manuscript first briefly discusses current challenges in lean startups and concept of leanpull product development. Then, it presents a framework to demonstrate pull product development process. Finally, with the support of a case study, it demonstrates how to use multicriteria analysis methodology to recognize MVPFs. An illustrative analysis and results are presented to demonstrate the use of the suggested approach for recognizing MVPFs.