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Globally, most safety regulators only allow crew to operate one remotely piloted aircraft (RPA) at a time due to workload concerns. More sophisticated automation is anticipated to alleviate operator workload, allowing crew to simultaneously operate more than one RPA. However, how work should be distributed amongst crew is still unknown. We employ a complementary set of methods for work design in a future system of RPA operation: Cognitive Work Analysis, computational modelling, and human-in-the-loop experiments. In this paper we describe each method, outlining the unique insights gained and how these are applied in the evaluation of work in a future RPA system. We also identify the limitations of each method and outline how these are addressed in successive methods. Our approach provides rich evaluations of alternative work designs and—once established—can be used to efficiently identify designs that maximise safety and efficiency of operations in a future RPA system.