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While perhaps streamlining and expediting battlespace information transport and display, current and emerging C2 systems still foist battle management decision-making on the humans. One of these decis... While perhaps streamlining and expediting battlespace information transport and display, current and emerging C2 systems still foist battle management decision-making on the humans. One of these decision functions is Generate Battle Courses of Action (GBC). GBC considers which units, agencies, formations, platforms, or weapon systems—individually or as pre-arranged force packages—potentially can and may achieve a particular effect, and rank-orders those potential matches. GBC takes a matched effect-effector set output from a “Match Effectors” decision (i.e., the principal effect, deliverable(s), & effector(s)), determines what other effect(s) support the principal effect, and builds a web of events representing the actions necessary for the principal effector(s) to achieve the principal effect, and for all participants to arrive in some post-execution disposition. The GBC DASH aims to answer the following core questions: How many decision opportunities are recognized/missed? How fast can the HMT make its decision? How accurate or error free are the HMT’s decisions? How confident is the human operator in the HMT’s solution? What are some technical software attributes/requirements that must be considered along with the functional requirements? Since GBC is expected to generate more courses of actions than manual data collection and analysis processes can derive insights, a hypergraph may be the best presentation of COAs and associated paths. Software attributes will be assessed based on HMT decision speed, correctness, completeness, and user experience. Experiment details will be distributed along with this RFP.