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How to Optimize Staffing Using Peak Hour Analytics

Overview​

Peak Hour Analytics helps you visualize the busiest times of the day. By understanding these trends, you can optimize staff schedules to ensure sufficient coverage during rushes and reduce labor costs during quiet periods.

Prerequisites​

  • Subscription Plan: Plus or Max
  • User Permission Required: view_dashboard, manage_shifts (for acting on the data)

Step-by-Step Guide​

  1. Scroll to Peak Hours Section Locate the line graph labeled Popular Hour Analytics or Peak Hours on the dashboard.

  2. Read the Graph

    • X-axis: Represents the time of day (e.g., 12:00 PM, 1:00 PM).
    • Y-axis: Represents the order count or sales value.
    • Blue Shaded Area: Visualizes the volume of activity.

  3. Identify the Spike Look for the highest point(s) on the graph. These represent your busiest times.

  4. View Specifics Hover over the peak point (e.g., 4:00 PM) to see detailed metrics:

    • Max Orders per Hour: The highest number of orders received in that hour.
    • Total Orders: The total count for that timeframe.

  5. Analyze Sales Trends Directly below or beside the peak hours graph, view the Sales Trend Graph.

    • Compare this with the order count to see if revenue follows the same pattern. High orders with low revenue might indicate many small transactions (e.g., coffee rush), while lower orders with high revenue might indicate dinner service.

Outcome​

You will identify specific time windows that require increased staffing levels and times where you can potentially reduce staff, optimizing your labor cost percentage.