Concept for Databased Identification of Heuristics for Development Management using FAMD

Decisions in development management shape the prospects of companies. However, while interdependencies and therefore the complexity of decisions is strongly increasing, decisions remain mostly experience-based. Humans are good at finding patterns, occasionally even if they are invalid. This poses a danger to companies, as it emphasizes how our intuition can be flawed. A way of addressing this challenge is the usage of the increasing amount of available data in development projects. This paper presents an exploratory approach to use project metadata to create transparency regarding decision-relevant impact factors and make these insights available to decision makers in the form of heuristics, supplementing existing intuition with databased intuition. The result of applying the approach are company-specific heuristics to enhance decision-making in development management.