This chapter presents a rational framework for prioritizing decision-related problems in medical technology ventures. After mapping the venture’s full decision landscape, entrepreneurs must allocate limited resources among competing priorities. This chapter introduces a method based on two fundamental elements: financial uncertainty—defined as the product of a problem’s potential economic impact and the uncertainty of its future scenarios. Problems with the greatest combined impact and uncertainty deserve precedence. The approach is visualized through bi-dimensional mapping and exemplified for medical startups. It emphasizes that prioritization is a continuous, iterative process, constantly refined as information quality improves. This chapter also applies this logic to higher-level K9 map clusters, combining quantitative reasoning with managerial consensus to ensure that fundamental, high-impact issues—such as value proposition, market assumptions, or commercialization readiness—receive timely, collective, and evidence-based attention.