Staff Rota & Scheduling Dashboard
Workforce AnalyticsIntelligent staff scheduling system with visual rota builder, shift pattern management, leave requests, and coverage monitoring for care organizations.
Overview
💡 Challenge
Care organizations manage complex schedules with multiple shift patterns, varying staff availability, part-time and relief workers, and frequent last-minute changes. Manual rota creation is time-consuming and error-prone, risking understaffed shifts.
⚡ Solution
Developed a visual scheduling dashboard with weekly rota grid, configurable shift patterns (Early, Day, Late, Night, Long Day), staff profiles with contract details, leave request workflow, and real-time coverage alerts. Supports full-time, part-time, relief, and bank staff management.
🎯 Impact
Reduces rota creation time from hours to minutes. Coverage alerts prevent understaffed shifts. Leave management workflow ensures proper approval process. Analytics track hours worked against contracted hours.
Technical Details
🛠️ Tech Stack
✨ Key Features
- ✓Visual weekly rota grid showing all staff and shifts
- ✓Staff directory with contract type and hours management
- ✓5 configurable shift patterns with custom colors
- ✓Quick-add feature for scheduling entire week at once
- ✓Leave request submission and approval workflow
- ✓Coverage monitoring with minimum staff requirements
- ✓Hours tracking against contracted hours
- ✓Support for full-time, part-time, relief, and bank staff
- ✓Week navigation with date range display
- ✓Analytics dashboard with scheduling statistics
Key Learnings
- →Care sector scheduling requires support for multiple contract types
- →Visual rota grids are more intuitive than list-based schedules
- →Shift pattern templates dramatically speed up schedule creation
- →Leave management needs proper approval workflows for compliance
- →Coverage alerts are essential for maintaining safe staffing levels
📊 Data Notes
This project uses synthetic/open data to demonstrate capabilities while maintaining privacy and confidentiality. All methods and approaches are applicable to real-world scenarios.