Decision-making under deep uncertainty

Decision making under deep uncertainty (DMDU) is a decision science practice and analytical framework that evaluates potential solutions across multiple plausible future scenarios rather than attempting to predict a single future outcome. This approach is particularly valuable for strategic planning, public policy, and risk management when stakeholders, analysts, and decision-makers cannot reach consensus about future conditions or when traditional forecasting methods are inadequate due to fundamental uncertainties.

Source: Wikipedia — Decision-making under deep uncertainty (CC BY-SA 4.0)