> For the complete documentation index, see [llms.txt](https://docs.new-vue.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.new-vue.com/visual-guides/overvue/operations.md).

# Operations

### Overview

This page gives a daily look at operations. It shows where transaction volume is highest at each terminal, when guests move through the site each hour, and how attendance and revenue break down by product category throughout the day. It is designed for site or operations managers who want to check traffic patterns and terminal performance, not long-term trends.

{% hint style="info" icon="alt" %}
Calculations Used In This Report

* Attendees
* Item revenue when sold
* Payments
  {% endhint %}

### Filters

Season, Month, Site, Product Category, Product Name, and Employee.

<table data-view="cards"><thead><tr><th></th></tr></thead><tbody><tr><td>Season</td></tr><tr><td>Month</td></tr><tr><td>Site</td></tr><tr><td>Product Category</td></tr><tr><td>Product Name</td></tr><tr><td>Employee</td></tr></tbody></table>

### Terminal Activity

You’ll see a chart and table showing revenue processed by each terminal, along with the number of bookings and each terminal’s share of the total. Terminals are ranked by dollar volume, not by the number of transactions, so a terminal with fewer but larger payments can rank higher than one with more, smaller ones. Use the chart for a quick look at which terminal is busiest. This helps you spot terminals that are overloaded, underused, or have unusual numbers. Use the table when you need exact dollar amounts and booking counts, such as for reconciling totals or preparing a report.

### Attendees by Time

This chart shows how many attendees there are each hour of the day, with separate sections for each day of the week. It helps you see when attendance peaks and whether those peaks change on different days. For example, a weekend morning rush might look very different from a weekday afternoon. This information is helpful for making staffing and scheduling decisions, and for noticing if a certain day behaves differently from the usual pattern.

### Revenue by Time Sold

This chart shows revenue by the hour it was sold, broken down by product category. It tracks when purchases are made, not when they are used. For example, if someone buys a session at 10 am for later in the day, it will appear in the 10 am slot. This helps you see when people are buying and what they are buying, such as a morning rush on food and beverage compared to steady admissions throughout the day, separate from when those purchases are actually used.

### Non-Admissions Check-ins by Time

This grid shows attendees by hour and product category, focusing on non-admission check-ins like add-ons, food and beverage, rides, and similar items. It helps you find exact attendance numbers for a specific hour and category, so you can staff non-admission areas based on their real peak times instead of the site's overall peak. If it looks like admissions are included here, double-check the report to confirm the scope.