Average wait time, service level, handling time, abandonment, utilisation and satisfaction – what they mean and how to use them.

A queue system collects a timestamp every time a ticket is taken, called and closed. Turned into a few core numbers, that data tells you how well every branch is serving individuals. These are the six worth watching.

1. Average wait time

The time between taking a ticket and being called. It’s the number visitors feel most. Track it per service and per hour, not just as a daily average – a fine daily figure can hide a terrible morning peak.

2. Service level

The share of visitors called within a target time, for instance “80% within 10 minutes”. It’s easier to manage than an average since it focuses on the visitors who waited too long.

3. Average handling time

How long personnel spend with each visitor. Big differences between personnel or locations for the same service usually point to training or process issues.

4. Abandonment (no-shows)

Tickets that were called but nobody came. A rising rate means individuals are giving up – generally since waits are too long or unpredictable.

5. Counter utilisation

The share of time counters are high-traffic. Really low utilisation wastes personnel; extremely high utilisation (above roughly 85–90%) makes queues grow rapidly. Try our wait-time calculator to see how sharply wait time rises as utilisation approaches 100%.

6. Customer satisfaction

Ask visitors right after service with a feedback device. Linked to the service and counter, satisfaction scores show whether faster service is also better service.

Making the KPIs valuable

• Agree on targets per service – a 5-minute wait means various things at a pharmacy and a visa office.
• Look at the data by hour and weekday to plan staffing.
• Set alerts for when live wait time passes the target, so action happens the same day.

QVista delivers all six KPIs in live dashboards and reports for every branch.