TRIBE: Predicting Team Performance via Communication Behavior Ensembles

2026-08-07

AI Summary

This study addresses the challenge of predicting collaborative team performance and enabling timely interventions without relying on task-specific prior knowledge. The authors propose TRIBE, a method that models early communication behaviors to cluster teams into predictive “behavioral tribes,” achieving effective performance forecasting using only initial-stage data (e.g., the first 10% of task duration). TRIBE is the first approach to enable cross-task, task-agnostic team performance prediction, revealing distinct influences of AI agents versus human advisors on team behavioral trajectories and demonstrating that successful teams maintain behavioral flexibility throughout collaboration. Experimental results across four heterogeneous datasets show that TRIBE significantly outperforms baseline methods, offering improvements in both prediction accuracy and inference speed.

Abstract

Designing autonomous agents that effectively assist human teams hinges on understanding team dynamics, often without task specific knowledge. We present TRIBE, a domain independent approach that reveals team behavioral dynamics invisible to traditional performance metrics. We show that communication patterns can categorize teams into performance predictive behavioral tribes, as early as 10% into the task, enabling timely interventions. We test TRIBE on four diverse datasets and demonstrate that communication patterns predict team performance while the prediction strength varies by the degree a task structure allows for behavioral freedom. Our temporal analysis reveals that AI agents significantly alter team behavioral trajectories while human advisors align with natural dynamics, and that teams maintain behavioral flexibility throughout collaboration. Further, we compare TRIBE to Llama and optimize the pipeline, achieving significant speedup with performance improvement.

Problem

• team performance prediction
• communication behavior
• behavioral dynamics
• human-AI collaboration
• domain-independent modeling

Innovation

• team performance prediction
• communication behavior
• behavioral tribes
• domain-independent modeling
• AI-human collaboration