To measure the direct correlation between Inside Health app usage and employee well-being, NYU Langone utilizes a data-driven approach combining longitudinal surveys and anonymized engagement metrics. The institution tracks key performance indicators such as changes in burnout scales and mental health self-reporting scores over time.
Our methodology involves comparing baseline mental health assessments collected prior to the app implementation with follow-up data collected at regular intervals. By analyzing anonymized trends, we can observe whether increased engagement with the app's specific wellness modules corresponds with downward trends in reported stress and exhaustion levels across various departments.
Furthermore, the evaluation includes quantitative assessments of workplace productivity and absenteeism rates. By integrating these high-level administrative metrics with aggregate, de-identified app usage data, we aim to validate the efficacy of the platform in reducing burnout. This rigorous evaluation process ensures that our mental health interventions are effective and provides actionable insights to continually refine our employee support strategies and well-being programs.
