Manufacturing industries must address the needs of their human resources to maintain efficiency and profitability in the global markets. By fostering safe, psychologically supportive working conditions, companies can improve work performance and retain their workforce in the face of labor shortage. Monitoring mental workload, and in particular mental overload, which occurs when the cognitive resources needed for task performance exceed the operator's capacity, is a promising approach when addressing this issue. Previous research has mainly focused on individual assessments of mental workload. When assessing workload at the team level, one approach is to simply aggregate individual metrics. In order to reduce the loss of information due to this data aggregation, we are exploring a novel way of measuring the mental workload of teams: Physiological Synchrony (PS). This exploratory study, involving 75 participants grouped into five-person teams, investigates the relationship between classical team-level metrics and PS during a complex virtual reality task. PS is calculated using Multidimensional Recurrence Quantification Analysis. A significant difference in aggregated team workload was observed between high and low synchronized teams, with higher synchronized teams exhibiting a lower aggregated workload. These results suggest that PS may be a suitable measure of mental workload at the team level.