It’s no secret that taking time off from work is vital for your employees’ well-being. Time away allows people to unplug, recharge, and return to work more productive. But how can you ensure that your employees not only take the vacation time they’re entitled to but also that your organization manages time off in a way that ensures adequate staffing and resource availability?

With One Model, you can easily track and manage employee time off, making it one of the best PTO tracking software options available. Leaders can import time-off data to gain a clear view of who has taken time off and who has approved or pending leave. You can filter the data by Division or Supervisory Organization and categorize the different types of leave—whether it’s vacation, sick days, volunteer time, or other types of paid time off accrual. This breakdown ensures you have a comprehensive understanding of how time off is distributed across your organization.

Understanding Time-Off Trends

Knowing when employees tend to take time off is just as important as knowing how much time they’re taking. According to a study by CalendarLabs, December is the most popular month for vacation in the U.S. and Canada, while July is preferred in the U.K., and April in Australia. 

One Model enables you to create custom queries for employee vacation trends analysis within your organization. For example, you can build a report to show the most common vacation months, even breaking it down by day, to better understand when certain teams or departments are likely to be short-staffed.

Managing Accrued Leave to Minimize Risk

Unmanaged paid time off accrual can present risks beyond just operational gaps. If employees decide to take their accrued leave all at once, it can cause significant workflow disruptions. Additionally, accumulated leave poses a financial liability for the company, especially when employees leave and need to be compensated for unused time off. By keeping an eye on accrued leave through One Model, you can identify potential risk areas within your organization and take proactive measures to mitigate them.

How One AI Can Help Strengthen Predictions of Future Behavior

Use the One AI table insights feature to identify unusual leave patterns. For example, table insights can highlight employees with excessive accrued leave who may need encouragement to take time off, or detect negative leave patterns (where employees take more leave than available). Analyzing these patterns enables leaders to address staffing challenges and support employee needs more effectively. 

Predictive variables such as employee demographics, performance metrics, engagement scores, and manager or team dynamics, can be incorporated into a regression model using One AI to help predict how many time off days different groups of employees are likely to take each year. More importantly, it would identify the key factors influencing whether employees take more or fewer days. Understanding these drivers can help organizations implement strategies that encourage employees to use their vacation time effectively.

Benefits of Using One Model for Time Off Tracking

• Up-to-date Insights: Track approved, pending, and taken leave in real time.
• Comprehensive Breakdown: View time off data by division, department, or leave type.
• Custom Reporting: Build detailed list reports for compliance purposes or to conduct an in-depth analysis of employee vacation trends and staffing coverage.
• Proactive Risk Management: Identify and manage excess paid time off accruals to reduce financial and operational risks.
• Predict Future Behavior: Understand factors driving time off behaviors and better forecast future usage.

With One Model, you can ensure that vacation time is both well-monitored and well-managed, helping to create a balanced, productive workplace while safeguarding your organization from potential risks associated with time-off accumulation.

Ready to learn how One Model can streamline all your HR tracking?