This paper introduces a new method for the communication between human and product model entity definition processes. As product definition is moving into modeling in industrial product lifecycle management (PLM) systems, and built-in knowledge and intelligent computing content of product models increase, development of product modeling faces new challenges. More often, knowledge content is not in accordance with authorized human intent and different intents of different authorized humans for the same task are not in harmony. At the same time, authorized human needs help to understand decisions of other humans at application and modification of existing entity definitions in product model. The authors of this paper found the answer for the above challenges in a new human-model generation communication which extends the conventional product feature definition to higher level definition of objectives and allows for harmonizing different human intents. This communication applies higher level connection of human and product object generation process by knowledge based contextual chain in which model entities are more appropriate for knowledge content based decisions as the currently applied knowledge ware features. The proposed communication is devoted as extension to currently applied one so that the new decision assistance can be integrated with the well proven feature driven current industrial modeling.