Collective Systems Adaptation Analysis: A Method for Measuring Team Adaptation in Dynamic Environments

Abstract

Modern action teams operate in high-tempo, uncertain environments that demand continuous adaptation across multiple dimensions. Despite growing interest in real-time team assessment, few methods exist for detecting dynamic reorganization in team interaction patterns. This paper represents a methodological step toward establishing Collective Systems Adaptation (CSA) analysis as a generalizable analytic framework. We explicate the core analytic procedure underlying CSA and demonstrate its feasibility using communication behavior from two 14-person U.S. Army tank platoons. Time-varying measures of communication flow were derived to capture both temporal and structural interaction dynamics, and CSA was applied to quantify characteristics of adaptive activity. Results indicated that dynamic communication characteristics were systematically related to multiple dimensions of combat performance. Collective System Adaptation derived metrics further demonstrated that larger, discrete reorganization events were associated with improved targeting accuracy, and greater cumulative adaptation corresponded to reduced overall effectiveness. Together, these findings demonstrate the feasibility of CSA for detecting emergent patterns of team reorganization and illustrate its potential value for assessing adaptive team functioning in complex operational settings. Implications for methodological development, real-time monitoring, and training evaluation are discussed.