In light of the increasing prevalence of transboundary crisis events in the Anthropocene, contemporary organizations continuously face existential threats. To withstand the ongoing assaults of exogeneous shocks they must therefore reinforce their organizational resilience. However, a comprehensive body of theoretical and empirical organizational resilience studies struggles to yield actional knowledge that organizations may operationalize to surmount both unforeseen and foreseen shocks. This paper lays the groundwork for a potential solution to this issue, namely the development of a readily useable and demonstrably useful resilience SG design algorithm that efficiently transcribes the construct’s complex multi-factor etiology into clearly defined Game Intended Resilience Learning Outcomes (GIRLOs). We thereby propose a solution to key weakness of existingresilience SGs, namely, their incapacity to furnish actionable knowledge pertaining to an organization’s resilience capabilities and capacities. To demonstrate the algorithm’s utility, we also show how the algorithm may be deployed based on the case of a resilience business SG scenario.