Current research in the field of critical success factors of start-ups refers to general factors with which important information about the start-up is lost. Start-ups are too individual for a generalistic assessment, so a novel approach is presented in this paper that allows the context of start-ups to be included in the assessment of critical success factors. This results in the context-based critical success factor, which is defined for the first time in this paper.

Current research in the field of data-driven analysis of critical success factors of start-ups is based on similar methods and not always differentiating aggregations of data. This paper examines the current data models used to analyse critical success factors and presents a new data model / analysis technique (algorithm) based on contexts with related examples.