Understanding Predictive Leave (EHP Users Only)

  • MypcorpMypcorp

‼️Important Note:

Predictive Leave is only available to users of Employment Hero Payroll. If your organisation does not use Employment Hero, this feature will not be accessible. For more information on the Employment Hero Payroll integration, please raise a support ticket.

What is Predictive Leave?

Predictive Leave in HR is designed to provide a more accurate representation of leave for shift workers, aligning with the SCHADS Award and other complex industrial instruments. This feature predicts ‘what would have been worked’ during leave periods by analysing scheduled shifts and calculating granular leave data.

Core Functionality of Predictive Leave

Predicting ‘What Would Have Been Worked’.

Predictive leave estimates the number of hours a shift worker is rostered to work during their period of leave:

  • When a leave request is submitted, the system checks the staff member's shifts (published and unpublished) for the period they have applied for leave.

    • These shifts are used to determine the number of hours and days the staff member would have worked if they hadn’t taken leave.

Daily and Hourly Breakdown:

  • Leave requests are divided into granular data points, reflecting the hours for each day instead of treating leave as one continuous block.

    • This allows managers to see:

      • Exact hours of leave per day.

        • How leave impacts shifts across multiple days or pay periods.

Predictive Leave ensures compliance with the SCHADS Award's ‘what would have been worked’ rule:

  • Calculates whether shift penalties or leave loading applies, selecting the greater amount for payroll processing.

    • Supports seamless integration with payroll systems that handle award interpretations, such as Employment Hero Payroll.

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Key Benefits of Predictive Leave

Accuracy:

  • Provides precise leave calculations based on real work schedules rather than estimates.

Visibility:

  • Managers can view leave data on a daily/hourly basis, improving roster planning and payroll accuracy.

Compliance:

  • Aligns with industrial award requirements, ensuring correct payroll calculations for leave loading versus penalties.

Efficiency:

  • Automates the process of calculating and updating leave requests, reducing manual intervention.

Example

A shift worker applies for leave for 5 days, including weekdays and a weekend. Predictive Leave identifies:

  • The employee is rostered for 8 hours on Monday, 6 hours on Wednesday, and 4 hours on Saturday.

These hours are recorded as part of the leave request.

Payroll processing:

  • The system calculates leave loading for weekdays and compares it to shift penalties for the weekend, ensuring the employee receives the higher entitlement.

Future Enhancements

  • Extending the prediction range to include shifts beyond 4 weeks.

  • Incorporating unpublished shifts into calculations for long-term leave requests.

  • Improved payroll report functionality to handle granular leave data across all platforms.

By leveraging Predictive Leave, organisations can manage complex leave scenarios with confidence, ensuring both compliance and operational efficiency.