Insights

See where the AI hands off - and why

Insights turns every escalation into a to-do list. Track total answers, escalation rate, and the reasons the AI gave, so you always know which gap to fill next.

AI FAQ InsightsLast 30 days

1,284

Total answers

15%

Escalation rate

192

Escalations offered

22%

Heuristic-fired escalations

AI FAQ is in beta and rolling out gradually. Insights focuses on FAQ coverage and answer quality - for staff metrics and ticket trends, head to your Support Bot Analytics page.

Top-line metrics

The numbers that matter

Four figures at a glance tell you how much the AI is handling on its own - and how much still reaches your team.

1,284

Total answers

How many answers the AI produced in the selected window, across both channel auto-answer and the gatekeeper.

192

Escalations offered

How many of those answers included an "Open a ticket" button because the AI couldn't fully resolve the question.

15%

Escalation rate

The share of answers that ended in an escalation offer. Lower means the AI is deflecting more questions on its own.

22%

Heuristic-fired escalations

The share of escalations caught by the safety net rather than asked for cleanly by the AI. A very high share is worth a look.

Top escalation reasons

Recurring reasons are your to-do list

When the AI escalates, it tags why. Insights ranks those reasons so the questions members keep asking - and your FAQ doesn't cover yet - rise straight to the top.

Each recurring reason points to a missing or weak FAQ entry
Write or improve one entry and that reason should drop off next time
Spot-check individual cases in the recent escalations list
Top escalation reasonsLast 30 days
Refund eligibility questions
14×
Account linking issues
9×
Event schedule & timezones
6×
Payment method changes
3×

Each recurring reason is a question your FAQ doesn't answer well yet. Add or improve an entry covering it and watch the count fall.

Escalation sources

Where escalations come from

Every escalation is tagged by how it happened, so you can tell a clean hand-off from a safety-net catch.

Clean hand-off

The AI clearly decided it couldn't answer from your FAQ and asked the bot to offer a ticket, along with a reliable reason.

Safety-net catch

The AI hedged in prose rather than handing off outright, so the bot added the ticket button just in case. A small share is normal.

Suggested workflow

A loose weekly routine

A few minutes a week keeps your FAQ ahead of the questions members are actually asking.

1

Open Insights

Pull up a 30-day window once a week.

2

Skim the reasons

Look for any escalation reason showing up 3 or more times.

3

Write an entry

Add or improve a FAQ entry covering each recurring reason.

4

Watch it drop

Check back in two weeks - handled reasons should shrink or disappear.

What Insights is good for

Three concrete questions this page answers - pick whichever you're trying to solve.

Spot FAQ gaps

Turn recurring escalation reasons into the exact entries you should write next.

Keep the AI reliable

Watch the heuristic-fired share to catch the AI hedging instead of answering cleanly.

Track deflection over time

Compare escalation rate across 7, 30, and 90 days to see coverage improve.

Frequently Asked Questions

It's the share of AI answers that ended with an "Open a ticket" offer. A low rate means the AI is resolving most questions on its own; a high rate means your FAQ doesn't cover what members are asking yet.

Those are escalations the safety net added because the AI hedged in prose instead of cleanly handing off. A small share is normal - a very high share suggests the AI is unsure and the related entries may need rewriting.

Treat the list as a to-do list. Each recurring reason is a question the AI can't answer well yet - add or improve a FAQ entry covering it and the reason should drop off next time you check.

You can switch between the last 7, 30, or 90 days. Every metric and chart on the page reflects the window you pick.

No. Insights is focused on AI answer quality and FAQ coverage. For staff metrics, response times, and broader ticket trends, use the Support Bot Analytics page instead.

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