Set up analytics dashboards

Prefer to watch? This video shows it step by step.

2:33Reading your StatsTime ranges, your numbers, the team table, each staff member's profile and their AI ticket reviews.

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.