Ticketing, queues & SLA
How this is scored
The engine: how work is routed, prioritised, escalated and measured — and whether an agent can find the ticket they need among ten thousand.
0 — A shared mailbox with labels; no ownership, no status model, no history beyond the thread.
3 — Tickets with assignment and open/closed status, but routing is manual, there are no SLA timers and search covers subject lines only.
5 — Queues with rules-based routing, priorities, a working status model, SLA timers with breach warnings, and full-text search across ticket bodies.
8 — Business-hours-aware SLA policies per queue or customer, escalation chains, macros and triggers, merge and split, and reporting on first-response and resolution time by agent and queue.
10 — The workload is managed rather than merely tracked: capacity-aware assignment, SLA per contract with reporting an account manager could show a customer, audit of every status change, and search that finds the ticket from a half-remembered phrase.
The Support Lead
Routing is the strong suit — the AI classifies, predicts priority and routes on skills, current workload and language, backed by a no-code builder to route, assign and escalate, with SLA health, first contact resolution and resolution time tracked in real time. Reporting names agent performance and CSAT but no per-queue breakdown. I found no public information on SLA timers that warn before breach, business-hours-aware SLA policies per queue, macros, merge and split, or ticket search — the things my team leans on daily. 1 3