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 Agent Advocate
The evidence proves this is a ticket system for IT, HR and facilities teams, but it says nothing a front-liner can use on the hundredth reply: no queues, no SLA timers, no macros, no merge/split, no search — the only 'escalation' evidenced is AI grouping ops alerts into incidents, not a customer-ticket chain. Silence on the engine means I can't credit the engine; a named ticket product with manual-everything is the floor. 1