The network effect has been one of the most powerful forces in the rise of Big Tech. All these companies have in common that they offer different kinds of networks, with services and products, which provide a huge benefit for the individual user. Adapting the network effect to NVH testing, especially in the development process of electric motors, offers a wide range of advantages. Various aspects, and hence different groups, are usually involved in the development process, e.g. structural testing, acoustics, electric power, and simulation. Alterations in any of these fields usually result in impacts on one of the other topics. Optimizing the NVH properties for example might have a negative impact on motor performance. In contrast the increase of performance also influences the NVH characteristics of the motor. Up to now each group involved in the process has been using specialized hard and software to focus on their own task, resulting in problems in the late development phase. Using a network-based approach enables a communication with specialized systems rather than trying to create an all-purpose system. A flexible NVH system can be used to acquire NVH data and analyze the data on the fly, providing feedback to the performance calibration system, so that performance and NVH can be optimized in parallel. Further the NVH data can be rapidly combined with blocked forces, simulating the integration of the motor into the full vehicle and its effect on the overall NVH characteristics.