
Analyze leave usage patterns, track departmental trends, and export comprehensive reports across your organization.
Requests by type across the organization — toggle between monthly and quarterly views
Key patterns detected across the organization's leave data. Use these insights to plan staffing, adjust policies, and anticipate seasonal demand.
Leave requests peaked in April-June with 38% of annual volume concentrated in that quarter. Summer vacations and school holidays drive the seasonal surge.
Managers respond to leave requests within 2.3 business days on average, well under the 5-day SLA target. This marks a 14% improvement from the prior period.
Reported sick days dropped 18% compared to the same window last year. Remote work flexibility and wellness initiatives are likely contributing factors.
The Engineering department accounts for 31% of all leave days used, followed by Customer Success at 22%. Consider proactive staffing reviews for Q3.
Only 5.8% of leave requests were denied, consistent with the 12-month rolling average. Most denials cite overlapping team absences or critical project deadlines.
Employees disproportionately take leave adjacent to weekends. This pattern suggests long-weekend optimization and could inform flexible scheduling policies.
Recommendation: Consider launching a Q2 pre-planning window in March to distribute leave more evenly and reduce June bottlenecks. Teams with flexible scheduling report 23% fewer overlapping absence conflicts.
Detailed usage metrics across all leave categories for the current year
| Leave Type | Total Used | Remaining | % Used |
|---|---|---|---|
Annual Leave | 142 | 98 | 59% |
Sick Leave | 38 | 58 | 40% |
Maternity Leave | 12 | 108 | 10% |
Unpaid Leave | 22 | 38 | 37% |
Bereavement Leave | 5 | 35 | 13% |
Compensatory Off | 18 | 30 | 38% |
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