Current spoken dialogue systems are often criticized because they lack natural behavior. At the same time, the development of natural dialogues is still an expensive and laborious process. Hence, many dialogues are very rigid, as they dont allow the user to influence the dialogue flow, and they use a static phrasing.Our aim is to facilitate the development of more natural speech-based information and control dialogues. Consequently, in this publication, a machine-processable model is presented that combines the description of the information demand, communication with the back-end, and the style of the utterance. This ukryj opis