Date Published November 10, 2026 - Last Updated November 10, 2026
If you are the leader of a support team, you have probably lost count of how often you get asked to take on “just a little more work” here and “just a little bit” there. On paper, high utilization looks great. The reality, though, is that pushing a service desk past 90% occupancy just creates a lot of problems in the background – higher handle times, more defects, damaged employee morale, with resulting higher turnover rates.
To avoid confusion, let’s start with defining the metrics. For the purposes of this article, occupancy is the percentage of time an analyst is busy handling contacts while they’re logged in and available. Utilization is a broader concept – it defines how much of an analyst's time is spent on productive work versus things like training, meetings and other shrinkage. High occupancy numbers may look great, but utilization could still be low based on shrinkage.
Generally, industry guidance suggests a sustainable occupancy rate of roughly 80-85%. That provides some buffer and recovery time between contacts. Above 90%, that buffer goes away. Without a buffer, work becomes rushed, ticket documentation thins out and quality slips. When it stays above 90% for long periods, the service desk will tend to see higher attrition and more rework. So that great-looking utilization on paper often means longer handle times, more escalations and higher attrition costs.
The thing to understand is that idle time is not wasted time. That’s where the bandwidth resides to absorb sudden spikes in volume or handle more complex issues. Remove the idle time, and a normal day becomes a backlog of effort that takes several days to clear up.
What can you do about it?
If you have the budget and a good WFM platform, then separate occupancy and utilization. Pay attention to how the system defines each – sometimes how we understand them to be defined is not how some CCaaS (Call Center as a Service) define them. Set a realistic target for occupancy – in the low-to-mid 80’s. After collecting some data, evaluate them by channel (voice, chat, etc.) and timeframe (day of week or shift). Compare the data to the downstream impacts to quality, rework and employee feedback/attrition. That will give you a much better picture than, “the queue is full.”
If you don’t have the budget, pull some data from your system – around 90 days – and look at the volume and handle times. Compare that to the other work being done and estimate how much time is being spent on handling contacts vs. everything else (training, meetings, etc.). Compare that to your target service levels and see where you stand. You may need to have an honest conversation with your leadership on what having a “full queue” costs as quality degrades. Even something as simple as a spreadsheet showing staffed hours vs. time spent handling contacts can shed light on staffing needs.
High utilization is not the same as high performance. The goal should always be a busy team, but not one that’s overwhelmed with work. Being able to explain the difference between occupancy and utilization, and its impact on the team, helps you staff more efficiently and sustainably.