For small and medium-sized enterprises (SEM), the strategy-driven use of information and communication technologies in the scope of Industry 4.0 represents a challenge. In the context of intensified competitive conditions, many SMEs are focusing on the cost-benefit-oriented implementation of the topics Industry 4.0 and digitization. A first step in strategic planning is to assess the current situation. The maturity models used make it possible to evaluate the success of a transformation process and identify further potential for optimization by comparing the start and target status. The maturity models used make it possible to evaluate the success of a transformation process and identify further potential for optimization by comparing the start and target status. The publication quality of maturity models varies greatly, therefor several authors have published frameworks for their design ((Becker, Knackstedt and Poeppelbuss, 2009);(De Bruin et al., 2005)). These frameworks represent different views on the mental model of design science research within the field of information systems. The criteria described by the individual authors for the design of maturity models are modelled as feature models. This enables a differentiated analysis of the four common and scientifically accepted frameworks for the design of maturity models, whereby the differences and similarities are shown with regard to the underlying mental model in the research field of maturity models. Based on this analysis, a meta-framework is developed and also presented as a meta-feature-diagram in this contribution.