Audit intermediate Works with: Any AI

Support Queue and SLA Performance Audit

Table output Has example

Check response and resolution times against promises.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

Audit support performance. Monthly figures for ticket volume, first response time, resolution time, reopen rate and backlog by priority: [QUEUE_DATA]. Service levels promised to customers: [SLAS]. Staffing by day: [STAFFING].

Compare actual times with promises, find the days and hours with the worst performance, check how priorities are assigned, and look for tickets that wait for the customer or for another team. Calculate averages and percentiles from the data supplied.

Return a table with Priority, Target, Actual, Gap (red, amber, green) and Cause, a score from 1 to 10 for reliability, and three staffing or process options with their trade-offs.

Also suggest which promises to change if they cannot be kept, rather than hiding misses, and how to show customers realistic times. Add a weekly review of the oldest open tickets and the reasons they are waiting.

Then build a staffing and priority model from the data and a communication plan. Calculate arrival patterns by hour and day, average handling time by priority, and the workload in hours. Compare with available agent hours to find the gap by period, showing the arithmetic. Propose three options, such as shifting schedules, adding a part-time cover or adjusting priorities and promises, each with the effect, the cost and the risk. Define a priority matrix with examples so that tickets are classified consistently. Draft customer-facing wording that sets realistic response times and an auto-reply that says what happens next. Create a daily dashboard with oldest ticket, backlog by priority and breach risk. Add a weekly review agenda and a rule for what to do when the queue is overloaded, such as pausing low-priority work and informing customers. Staffing rules are [VERIFY] for [JURISDICTION].

Finish by noting any finding that touches fairness, privacy or safety, and recommend the right person to look at it before anything else is changed.

Fill in before use

Optional: type your details and the prompt above updates. Nothing is saved or sent.

Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

Performance table (invented month)
Priority 1: target first reply 1 hour; actual median 38 min; 90th percentile 2 h 10 min. Gap amber.
Priority 2: target 4 hours; actual median 3 h; 90th percentile 9 h. Gap red.
Priority 3: target 24 hours; actual median 20 h; 90th percentile 41 h. Amber.
Worst times: Monday 09:00 to 11:00 (arrivals 34% above average) and Friday 16:00 onwards (one agent).
Workload: 1,180 tickets x 14 min = 275 hours; available 250. Gap 25 hours.
Options: shift one agent to Monday morning; weekend auto-reply with realistic times; trim priority 3 promise to 36 hours.

• audit