
Burnout Dynamics: Simulating the Burnout Phenomenon
Description
The Problem
Workplace burnout remains a significant challenge for both researchers and organizations. It’s a complex issue that demands a more comprehensive understanding. The goal was to use System Dynamics simulations to better understand burnout and its underlying causes1.
The Challenge
Current approaches to burnout often lack a comprehensive, dynamic, and personalized view of how key factors interact. Burnout stems from a complex system of feedback loops between individual mental models, personal behaviors, and external social influences. Understanding these interactions can help organizations and employees identify burnout risks earlier and intervene more effectively.
The Approach
A causal loop diagram (CLD)1 was developed based on expert insights. Existing literature was also considered. This diagram maps out the intricate feedback loops involved in burnout. A new method was introduced to gather personal retrospective scenario data, adding a personalized dimension to the model. This data, combined with the CLD, was then translated into a quantitative System Dynamics (SD) model1.
Results
Simulations were run to show how three different personas experienced and recovered from burnout. These simulations highlighted the underlying dynamics and provided a proof-of-concept tool for predicting and managing burnout more effectively1.
Thoughts
This project represents a step toward a more dynamic and personalized approach to understanding burnout. The model offers valuable insights into early prevention and management. It does this by simulating real-life scenarios. This gives organizations a more systematic way to address burnout.
Role(s)
• Refined and enhanced the existing model.
• Edited and iterated the accompanying research paper.
Cliënt:
TNO
Project duration:
3 months
Links / papers:
Want more info on the burnout dynamics project?
Please get in touch.




