25 Relative Value Assessment Once Cognitive Load Scores and Impact Scores are established through an in-depth process analysis and coordination between staff and leadership, they can be compared to generate a quadrant-based Relative Value Assessment for a set of tasks within a workflow. This assessment is used to compare effort with impact—specifically to identify cases where high cognitive effort is generating low impact, which can be strong candidates for near-term Gen-AI integration. Critical to note here is that the interpretation of this data may evolve over time, as the capability frontier for a given Gen-AI tool evolves to perform either higher complexity tasks or higher impact tasks with improved fidelity. Therefore, we cite that teams implementing this analysis should not interpret the ‘top left’ quadrant as a definitive threshold for Gen-AI tool value; depending on the unique needs of each team between Cognitive Load and Impact, other quadrants may be more relevant for tool integration. We also recognize that teams may wish to assign greater weight to one variable versus another within each of the two scores. This is important because it allows us to account for differences in leadership mandates, unique pain-points, and goals across the many divisions of each service branch. It also allows the analysis to be more contextually oriented toward the needs of individual end-users. Conducting interviews with stakeholders involved in the processes to gauge the team’s overall degree of focus on any given variable can help analysts determine the appropriate weighting. We recommend including weights for each variable during the final stage of the RVA analysis, as demonstrated in Figure 7 below. To complete the exercise, in Figure 7, we assign variable weights, and combine Cognitive Load Scores and Impact Scores to conduct the full Relative Value Assessment for the Naval Aviation Community: Figure 7: Relative Value Assessment for the Flight Mission Process Step 3: Assign measure weights, calculate aggregated variable score, and graph final RVA assessment on quadrant scatter plot Generative AI Adoption in the US Military