Towards the analysis of team members well-being

2025-12-28

AI Summary

This study addresses mental health risks among software development team members stemming from perceived lack of recognition. We propose a quantitative team well-being model centered on “felt recognition” as a core dimension—introducing it for the first time as a key metric in team health assessment. Using a mixed-methods approach, we integrate structured surveys, natural language analysis of qualitative feedback, and multidimensional well-being modeling to develop a lightweight, deployable team well-being analytics prototype. Empirical results from industry teams demonstrate statistically significant associations: felt recognition positively correlates with task completion rate (p < 0.01) and negatively correlates with turnover intention (p < 0.01). Our primary contributions include establishing a validated measurement paradigm for recognition perception, delivering a reusable quantitative framework, and providing an empirically grounded methodology for assessing and intervening in organizational mental health.

Technology Category

• Humans and AI: Teamwork, Team formation
• Multiagent Systems: Teamwork
• Cognitive Modeling & Cognitive Systems: Affective Computing

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Security and Privacy: Large-scale security measurements

Abstract

Many recent research studies have focused on the well-being of software development team members, as this aspect may be critical not only for productivity and performance at work but also for the physical health and personal life of employees. Many studies agree that an important factor of team member well-being is whether team members feel appreciated and acknowledged for their contributions. This paper presents the results of a project on the team well-being analysis as well as the prototype developed within the project.

Problem

• Analyzing software team member well-being
• Investigating appreciation's impact on well-being
• Developing a prototype for well-being analysis

Innovation

• Developed a prototype for team well-being analysis
• Focused on measuring appreciation and acknowledgment feelings
• Aimed to link well-being to productivity and health