This study investigates the role of income, ICT adaptation, and leisure time on employees' mental health.This study uses quantitative methods by adapting qualitative methods of focus group techniques and deep interviews which are quantified so that quantitative data processing can be carried out. Focus groups are conducted to determine indicators that will be explored in-depth in deep interviews on a larger sample so that data is produced that is ready to be quantified. We focus on mental health assessments and look for indicators that affect mental health in the workplace. Based on the results of focus groups and in-depth interviews, we found 4 control factors including income (W), work-life balance (Wlb), job satisfaction (Js), free time (Ft), ICT adaptation (ICT). We use Corrected Standard Errors (CSE) estimation, feasible general least squares (FGLS), and two-step moment generalization method (Two-step GMM ) in estimating the data we collect. We found that Income is not the only thing that makes employees happy and able to enjoy their lives and work optimally at work. This is evidenced by a causal relationship that is not significant to the mental health of employees. Job satisfaction that encourages employees to work around the clock is also not good for the benefit of workers' mental health. However, it is precisely the balance of life and work as well as free time that has a significant positive impact and it is an indicator that helps to measure the mental health of employees. ITC adoption surprisingly can improve the mental health of employees. It is rational where workers can work efficiently in their work with technology. This proves that free time and work-life balance are important factors in maintaining the mental health of employees.