adoptassume

Adoptassume is a methodological pattern used in decision analysis and systems design that separates the selection of a policy, model, or hypothesis from the assumptions that frame its operation. The term, a portmanteau of adopt and assume, emphasizes a two-step process in which stakeholders first commit to a framework and then specify the environmental premises or constraints under which it will be evaluated.

In practice, adoptassume supports scenario and sensitivity analysis by clarifying what is being chosen and what is being held constant. It is applied in policy analysis, risk assessment, software and systems engineering, and strategic planning, where uncertain conditions can affect outcomes significantly. The approach is particularly useful when communicating reasoning to diverse audiences, because it makes explicit the baseline choices separate from the assumptions.

Process: 1) adopt a policy, model, or baseline scenario; 2) assume a set of conditions, parameter values, or external factors; 3) analyze outcomes under those assumptions; 4) iterate by varying assumptions and, if possible, relaxing them; 5) compare results across scenarios to identify robust conclusions.

Advantages include improved transparency, modular reasoning, and clearer traceability from policy to results. Limitations include the lack of formal standards, potential misinterpretation of what is adopted versus assumed, and dependence on the quality and completeness of the assumed premises. The term is not universally standardized and may be used inconsistently across disciplines. Related concepts include assume-guarantee reasoning, scenario analysis, and sensitivity analysis.