This study examines the relationship between employee experience factors and workplace productivity in flexible work environments. As remote and hybrid work models continue to expand, organizations are increasingly concerned with identifying the factors that sustain employee performance under flexible working conditions. The study adopts a quantitative research design using secondary data from 100 employees extracted from a remote work productivity dataset. Descriptive statistics, correlation analysis, and multiple regression analysis were employed to assess the influence of remote work satisfaction, mental health status, dedicated workspace availability, daily meeting frequency, and work behaviors on employee productivity. The findings reveal that productivity levels vary across employees, with meeting frequency emerging as a significant positive predictor of productivity. Employees who reported taking breaks during work also demonstrated higher productivity levels than those who did not. In contrast, variables such as remote work satisfaction, mental health status, and dedicated workspace availability did not show statistically significant effects within the sample. These results suggest that communication structure and work rhythm may play a more prominent role in shaping productivity than individual perceptions alone. The study contributes to the growing literature on flexible work by providing empirical evidence on the factors associated with productivity in distributed work settings and offers practical implications for organizations seeking to improve employee performance and well-being.