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Recent studies have come to recognize the benefit of adopting a team-level perspective when studying stress in a team. However, most studies on team stress still rely on traditional scoring methods that provide limited insight into the dynamics that characterize team stress as a temporal and multilevel construct. This article explores how state space grids (SSGs) can identify, track, and visualize physiological stress dynamics over time and between members during a task. We collected electrodermal activity data from nine teams to demonstrate the application of SSGs during a flight simulator task. The results show that SSGs enable researchers to capture and visualize dynamic changes in stress levels and the association between member’s stress levels in teams. SSG analytics illustrate the importance of capturing stress variability over time and between members as, in this sample, teams were most attracted toward …