Overview of Leave Trend Chart in the Horilla Leave Dashboard
Managing workforce productivity requires more than just tracking leave balances—it demands a clear understanding of employee absence trends. In Horilla HRMS, the Leave Trend Chart in the Admin Leave Dashboard provides precisely that. With a glance, HR managers and admins can visualize weekly leave patterns and respond with strategic workforce planning.
What is the Leave Trend Chart?
The Leave Trend Chart (labeled as Weekly Leave Analytics) is a visual line graph available in the Admin’s Leave Dashboard that displays the number of leave requests recorded for each day of the week. It offers a week-by-week view of employee absences, helping you stay informed and responsive.
Key Benefits:
- Quickly spot peaks in absenteeism.
- Identify patterns, such as common leave days (e.g., frequent Friday leaves).
- Coordinate teams more efficiently by forecasting low-availability days.
How to Access the Leave Trend Chart

Follow these steps to view the Leave Trend Chart in Horilla:
Step 1: Navigate to the Leave Module
From the left-side main menu, click on the Leave section.
- Menu > Leave
Step 2: Go to the Leave Dashboard
Click on Dashboard under the Leave menu.
- Leave > Dashboard
Step 3: Switch to the Admin Dashboard
Click the “View Admin Dashboard →” button in the top right corner.
This will bring you to the Admin-specific view of leave data.

How to Read the Chart

- X-axis: Dates within the selected week.
- Y-axis: Number of leaves recorded for that day.
- Line Graph: Shows daily fluctuations in leave activity.
For example, a peak on 07-08-2025 in the chart shows that several employees were on leave that day, prompting a possible need for resource redistribution.
Additional Insights in the Dashboard
Beyond the Leave Trend Chart, the Horilla Admin Leave Dashboard offers a suite of supporting widgets that provide a broader, more detailed view of employee leave behavior. These visuals work together to help HR professionals make smarter, data-driven decisions by uncovering trends across departments, leave types, and time periods.
You’ll find several valuable components, such as:
Employee Leave Summary
Gives a breakdown of individual employees’ leave records, making it easier to identify who has taken how many days off in a selected period.
Department-wise Leave Distribution
Helps understand how leave is spread across various departments, ensuring no team is overburdened or understaffed.
Leave Type Pie Chart
Visually displays the proportion of different types of leaves taken (e.g., Sick Leave, Casual Leave), aiding in policy review and leave type management.
Upcoming Holidays
Keeps the HR team and management informed about upcoming official holidays so they can correlate trends and anticipate leave surges.
Together, these dashboard widgets offer a comprehensive toolkit for HR professionals to monitor, analyze, and respond to employee leave behavior effectively.
Who Should Use This?
This feature-rich dashboard is beneficial for multiple stakeholders across the organization:
- HR Managers – To identify attendance trends and ensure balanced team workloads.
- Team Leads – To plan projects, meetings, and deliverables around potential leave gaps.
- Executives – To gain high-level visibility into workforce availability and productivity trends over time.
These tools ensure that everyone involved in workforce planning and operations is equipped with real-time, actionable data to make informed decisions.
Conclusion
The Leave Trend Chart in Horilla isn’t just another dashboard widget—it’s a powerful strategic tool for modern workforce planning. Visualizing leave data every week empowers HR professionals and leadership to act on trends, balance workloads, and ensure that operations remain smooth even during peak leave periods.
For current Horilla users, this feature is a must-use today to prevent absenteeism from becoming a problem. For businesses exploring HR tech solutions, the Leave Trend Chart showcases Horilla’s commitment to not just managing HR operations but optimizing them through real-time insights and intelligent design.
