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Measure support quality one closed ticket at a time

Support quality gets reviewed monthly from memory and vibes. The ticket that quietly destroyed a customer relationship looks identical to the routine ones in the queue count.

The short way: Every closed ticket asks two questions — was it solved, how hard was it — and a bad effort score reaches your inbox the same hour, not at month end.

Ready-made templates for this

Prefer to start from a questionnaire rather than a description? These are already written.

Type this — that’s the whole job

“A two-question follow-up after support tickets: was your issue resolved, and how easy was the process”

Build it now — free

Free to start. The Pro plan adds date filters. Compare plans

No setup, no tutorial. The words above go with you — review what the AI builds, then share the link.

How it works — three steps

  1. 1

    Describe your support flow; the AI drafts a resolution check plus an effort score.

  2. 2

    Set an Act rule: effort score below 3 → email you.

  3. 3

    Put the link in your helpdesk's ticket-closed email, with the ticket number as a link variable.

What’s doing the work

Link variables

Your helpdesk's own close-out email carries the link and the ticket number — nobody sends anything by hand.

Act rules

A 'very hard' effort score emails you the moment it lands.

Date filtersPro

Effort scores before and after that new macro library show whether it actually helped.

Questions people ask

Won't customers get survey fatigue?

Cap it with the once-per-week cadence — a customer with five tickets gets asked once, not five times.

CSAT or Customer Effort Score for support?

Effort predicts loyalty better for support interactions; the drafted survey uses effort with a resolution check on top.

Minutes, not weeks. That’s the deal.

Start free

Free to start. The Pro plan adds date filters.