Abstract
Effective teams are crucial for organisations, especially in environments that require teams to be constantly created and dismantled, such as software development, scientific experiments, crowd-sourcing, or the classroom. Key factors influencing team performance are competences and personality of team members. Hence, we present a computational model to evaluate proficiency and congeniality of teams based on individuals' personalities and their competences to perform tasks of different nature. With this purpose, we extend Wilde's post-Jungian method for team composition, which solely employs individuals' personalities and gender. We present some preliminary empirical results that we obtained when analysing student performance. Our results show the benefits of a more informed team composition that exploits both competences and personalities of individuals.
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