1 MD Riaz, 2 B Roopa, 3 A Shiva kumar, 4 K Nithin, 5 N Yogitha 03 09 The Employee Attrition Trend Dashboard is a datadriven analytics system designed to monitor analyze and visualize employee attrition patterns within an organization Employee attrition refers to employees leaving an organization due to various professional organizational or personal circumstances High or increasing attrition can affect workforce stability recruitment costs productivity and knowledge retention Therefore organizations require an effective method to understand historical attrition patterns and identify areas that need attention The proposed dashboard collects relevant workforce information such as employee status department job role tenure joining date exit date experience level and other authorized organizational attributes The system processes this information to calculate metrics such as attrition rate employee count voluntary and involuntary exits departmentwise attrition tenurewise attrition and monthly or yearly trends These metrics provide a structured view of workforce movement The dashboard presents the analyzed information using interactive charts graphs tables KPI cards and trend visualizations Users can examine attrition according to department job role tenure group age range experience level or selected time periods where such analysis is appropriate and permitted Historical comparisons help users identify periods with unusually high attrition and understand how workforce turnover changes over time The system is intended to support HR teams and organizational managers in understanding workforce trends rather than making decisions about individual employees automatically By identifying aggregated patterns organizations can investigate possible causes through appropriate HR processes and develop suitable retention strategies The dashboard can also help with workforce planning and resource forecasting Overall the Employee Attrition Trend Dashboard provides a centralized and visual approach to workforce attrition analysis It reduces the effort required to manually prepare HR reports and enables users to identify important trends more efficiently The system can be further enhanced with forecasting alerts employeeengagement analysis and integration with HR management systems while maintaining appropriate privacy and access controls Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026