1 A Veerender, 2 M Shruthi, 3 U Narsimulu, 4 U Ranjith, 5 G Vivekanand 03 09 The Workforce Productivity Trend Dashboard is a datadriven system designed to monitor analyze and visualize workforce productivity over different periods Organizations need to understand how efficiently employees and teams are utilizing their working time and completing assigned tasks Productivity information is often generated from attendance records task management systems project activities work hours and completed assignments The proposed dashboard brings these different productivityrelated indicators into a centralized platform The system focuses on measurable indicators such as tasks completed working hours attendance task completion rate project progress workload and productivity score These metrics can be collected from organizational systems and processed to generate useful productivity information By analyzing these measurements over time managers can identify productivity trends workload differences and areas that may require operational improvements The dashboard presents workforce information through interactive charts graphs tables rankings and summary cards Users can analyze productivity by employee team department project or time period depending on the available data and organizational requirements Trend charts can show whether productivity is increasing decreasing or remaining stable while comparison charts can help identify differences between teams or departments The system is intended to support workforce planning and operational decisionmaking rather than simply ranking individual employees Managers can use aggregated productivity information to identify workload imbalances project delays resource requirements and process bottlenecks Historical analysis can also help organizations understand productivity changes during different periods and evaluate the effectiveness of process improvements Overall the Workforce Productivity Trend Dashboard provides a centralized and visual approach to workforce analytics It reduces the effort required to manually combine productivity information from multiple sources and provides a consistent view of operational performance The system can help organizations make more informed decisions about resource allocation workload planning project management and process improvement Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026