Policy instrument design occurs within complex environments, but the environments studied in the design literature share a common feature: the designer can generate data against which instrument settings are adjusted. Armed attack removes this feature. When a noncombatant state comes under missile and drone strikes, the government must calibrate, adapt, and terminate policy instruments without measurable threat indicators, under extreme time pressure, and with no capacity to influence the threat source. Here a framework is proposed for understanding the design space that governments navigate under such conditions, combining two dimensions that the existing selection-calibration-sequencing model has not needed to distinguish: the type of uncertainty characterizing the design environment and the constraint structure linking design choices across parameters. Drawing on the case of Qatar during the 2026 Iran war, the framework identifies the parameters that must be set when instruments are deployed under armed attack, the constraints that foreclose certain parameter combinations, and the capacity dynamics that result when the design space contracts. The article outlines each of these dimensions and advances three arguments: that armed attack may constitute a distinct design regime operating under relational rather than epistemic uncertainty, that instrument termination under non-controllable threat exposes an unstated assumption in the policy termination literature, and that inter-parameter constraints restructure the relationship between analytical and operational capacity under crisis conditions. The framework is derived from the Qatari case and probed against the other Gulf monarchies that faced the same Iranian and Houthi threat, across which the instrument set and the central constraint recur and the constraint varies with a single factor, the controllability of the threat. The principal contribution to crisis-management scholarship is the measurability-termination constraint, the finding that an emergency regime cannot be terminated on a threat indicator that the threat itself does not generate, and that the severity of this constraint rises as the controllability of the threat falls.
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Anis Ben Brik (2026) studied this question.
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