Is a team only as strong as its weakest link? Quantifying the short-board effect with AI Agents
Xin Xu, Jiu Zhang, Xiao-Ling Lei, Xiong-Fei Jiang, Long Xiong

TL;DR
This study uses AI-driven multi-agent simulations to empirically validate the short-board effect, showing how individual weaknesses collectively influence team performance and offering insights for organizational optimization.
Contribution
It introduces a multi-agent simulation framework to empirically analyze the short-board effect and reveals how multiple weak links cumulatively impact team performance.
Findings
Identifies three capability regimes in homogeneous teams, including a critical Sisyphus state.
Shows that a single weak link affects core and non-core members differently.
Demonstrates that multiple weak links have a cumulative impact on team performance.
Abstract
The short-board effect, analogous to Liebig's Law of the Minimum, postulates that the collective performance of a team is constrained by its weakest component. This principle has profound implications for the optimization of collaboration in a variety of contexts, including management, education, and organizational structures. Despite its theoretical significance, empirical validation remains elusive due to challenges of assessing individual capabilities, controlling real-world variables, and data biases towards successful outcomes, as well as high employee turnover.To address this absence of knowledge, we employ multi-agents driven by large language models to simulate a teamwork with standard operating procedure, revealing the relationship between individual capability and collective team performance.In homogeneous team configurations, three capability regimes are observed,…
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