# Set up analytics dashboards

> What TicketCord measures, where the numbers come from, and how to pick a time range that tells you something useful.

## Where it lives

Open **Stats**. Every number is computed from your actual ticket history - no demo data, no projections. You see only what your account has access to.

## Pick a time range

Pick **7 days**, **30 days** or **90 days**, or **Pick dates** for a calendar month or a custom range of up to 366 days. Switching ranges is cheap - results are cached briefly so flipping back and forth doesn’t re-run a heavy query. If you have several bots, use the top selector to switch between them.

## What’s on the overview

- **Total tickets** - all-time count.
- **Open tickets** - waiting for the first staff response.
- **Total open** - every open ticket, including ones that have been replied to.
- **Closed tickets** - resolved over the selected window.
- **Today & yesterday** - quick read for shift handover.
- **Avg response time** & **avg resolution time** - in minutes. We exclude outliers above seven days so a single stale ticket can’t skew the average.

## Staff views

- **Staff performance** - tickets handled and average first-response time per staff member.
- **Top resolvers** - who actually closes tickets.
- **Most active staff** - total messages sent across all tickets. Closing isn’t the same as doing the work.

## Ticket-shape views

- **Category breakdown** - count and average resolution time per category, so you can spot which topics chew up the most time.
- **Repeat users** - users with two or more tickets in the window. Pair with the dashboard inbox to follow up before they open a third.
- **Daily stats** - created vs. closed per day. Easy to eyeball whether you’re net-creating backlog.
- **Busiest hours** - only shown when there are at least 20 tickets in the window, otherwise the chart would be noise. Top six hours, by ticket count.

## Machine-readable resources

- [Canonical HTML](https://ticketcord.com/help/configuration/analytics)
- [TicketCord llms.txt](https://ticketcord.com/llms.txt)
- [AI page index](https://ticketcord.com/api/ai/pages)