Key Takeaways
- Customer support agent idle time, measured as available on-queue time not spent handling contacts, typically runs 12-20% of logged-in time, the direct mirror of the 80-88% occupancy band (ICMI, 2025)
- The 15-20% idle band is where most workforce planners aim; enough slack to protect service levels and recovery without paying for large blocks of unworked capacity (Calabrio, 2025)
- Idle time below 10% usually means occupancy has climbed past 90%, the point where burnout and attrition costs begin to erase any efficiency gain (SQM Group, 2025)
- At 20% idle time, a fully loaded US support agent costs roughly 12,000 to 15,000 dollars a year in paid but unworked hours (Forrester, 2025)
- AI assist and WFM automation cut avoidable idle time 4-9 points by aligning staffing to real demand and redirecting quiet-channel slack, without pushing agents into back-to-back contacts (Gartner, 2025)
What customer support agent idle time measures
Customer support agent idle time is the share of an agent's available, logged-in time that is not spent handling a contact. The agent is at the desk, ready for work, and on the clock, but no call, chat, or ticket is in progress. It is the gap between being available and being occupied, and it sits at the center of every staffing decision a support operation makes.
The number matters because payroll is the largest cost in almost any support center, and idle time is the portion of that payroll producing no direct service output. A center can staff to protect its service level and still watch a fifth of its logged-in hours pass without a contact to work. Some of that idle time is unavoidable and even necessary. The rest is recoverable cost hiding in plain sight.
Idle time is the direct mirror of occupancy, and reading one tells you the other. This article defines it against the related workforce metrics, sets the 2026 benchmark ranges, separates healthy idle time from waste, and shows what moves the number. For adjacent workforce data, see our research on customer support occupancy rate statistics, customer support agent utilization, and customer support shrinkage statistics.
How idle time is calculated
The standard formula sets unoccupied available time against total logged-in time:
Idle Time % = (Available Time Not Handling Contacts / Total Logged-In Time) x 100
Total logged-in time is the window an agent is signed in and ready to take contacts. Available time not handling contacts is whatever remains after live handling and after-call work are subtracted. Because idle time and occupancy divide the same logged-in window between them, they always sum to 100%. An agent running 82% occupancy is running 18% idle time by definition.
A center scheduling an agent for a seven-hour on-queue window who records five hours and forty minutes of contact handling and wrap-up is sitting at roughly 19% idle time. That hour and twenty minutes of idle was spent waiting between contacts, and a thinner schedule would have filled part of it with work.
Idle time is not the same as shrinkage. Shrinkage covers paid hours spent off-queue on breaks, meetings, training, and absence, so it never enters the logged-in denominator. Idle time lives entirely inside the on-queue window. Mixing the two produces staffing plans that miss, which is why the next section separates them.
Idle time vs. occupancy vs. shrinkage
These three metrics describe different slices of an agent's day, and treating them as interchangeable is a common planning error.
| Metric | What it measures | Typical range | What it answers |
|---|---|---|---|
| Occupancy | Contact handling time / on-queue logged-in time | 80-88% | How hard are agents worked while available? |
| Idle time | Available non-handling time / on-queue logged-in time | 12-20% | How much available time waits for a contact? |
| Shrinkage | Off-queue paid time / total paid time | 30-35% | How much paid time never reaches the queue? |
Occupancy and idle time split the same logged-in window and always add to 100%, so they are two readings of one measurement. Shrinkage sits outside that window entirely, capturing the breaks, meetings, and absence that occupancy and idle time both ignore by design. An agent can post 85% occupancy, 15% idle time, and 32% shrinkage in the same week without any of the figures contradicting the others, because idle time describes the on-queue window while shrinkage describes everything around it.
ICMI's 2025 contact center benchmark found that planners who tracked idle time as a first-class metric, rather than reading it only as leftover occupancy, cut avoidable idle by 3-5 points because the framing surfaced the quiet intervals that occupancy alone tends to average away. For the occupancy side of this pairing, see our customer support occupancy rate statistics research, and for the paid-time picture, our customer support shrinkage statistics research.
Benchmark idle time rates for 2026
Industry benchmarking places median customer support agent idle time in the 12-20% range, the exact inverse of the occupancy band, with the target most workforce planners aim for sitting a little wider.
| Benchmark | Idle Time | Source |
|---|---|---|
| Industry median idle time | 15-18% | ICMI, 2025 |
| Recommended target band | 15-20% | Calabrio, 2025 |
| Top-quartile centers (mature WFM) | 12-15% | SQM Group, 2025 |
| Overstaffed or low-volume centers | 22-30% | NICE WFM, 2025 |
| Large enterprise centers (500+ seats) | 13-17% | NICE WFM Industry Report, 2025 |
| Mid-size centers (50-499 seats) | 17-22% | NICE WFM Industry Report, 2025 |
| BPO and outsourced centers | 10-14% | ICMI, 2025 |
The pattern mirrors the occupancy data in reverse. BPO and outsourced centers run the lowest idle time because client contracts often carry productivity minimums that operators translate into idle ceilings. Calabrio's 2025 benchmark noted that outsourced centers averaged 12% idle time against 18% for in-house operations, a six-point spread that reflects commercial pressure more than any difference in how agents work.
Smaller centers tend to carry higher idle time for a structural reason. With fewer agents to absorb volume swings, they need more idle buffer to protect service levels, and that buffer shows up as unoccupied paid time. The trade is deliberate rather than wasteful, because the alternative is missed service targets during any spike in arrivals.
The healthy idle time range
The 15-20% band is where most workforce management frameworks land when they weigh cost efficiency against service protection. Above 22%, a growing share of the on-queue payroll pays for capacity that no contact ever uses. Below 10%, idle time has been squeezed so hard that occupancy is pushing past the 90% threshold documented in the attrition research.
| Idle Time Range | Workforce Read | Source |
|---|---|---|
| Above 25% | Overstaffed or low volume; recoverable payroll waste | NICE WFM, 2025 |
| 20-25% | Loose; room to tighten scheduling or blend channels | ICMI, 2025 |
| 15-20% | Recommended target; sustainable and service-safe | Calabrio, 2025 |
| 10-15% | Efficient but watch occupancy; verify agents get recovery time | SQM Group, 2025 |
| Below 10% | Occupancy near 90%+; burnout and attrition risk | Calabrio, 2025 |
The lower caution is the point most efficiency drives miss. Zero idle time is not the goal. When a center pushes idle time below 10% by staffing thin and running agents back to back, the recovery gap between contacts disappears, occupancy climbs toward 90%, and the burnout math takes over. Some idle time is the buffer that keeps service levels stable and agents in their seats. For the downstream cost of eliminating it, see our customer support agent attrition research.
Why some idle time is necessary
Idle time carries a reputation as pure waste, and that framing leads managers to cut it past the point of diminishing returns. Queueing behavior explains why a healthy operation always carries some.
Contact arrivals are random, not evenly spaced. To answer within a service level target, a center has to keep spare capacity ready for the moment several contacts land at once. That spare capacity spends the quiet intervals idle. The relationship is not linear: as occupancy climbs toward 100%, the wait time for the next available agent rises sharply, so the last few points of idle time protect a disproportionate share of the service level.
| Idle Buffer Purpose | Effect of Removing It | Source |
|---|---|---|
| Absorbing random arrival spikes | Service level and answer speed collapse under load | ICMI, 2025 |
| Recovery between demanding contacts | Quality drops, errors and repeat contacts rise | SQM Group, 2025 |
| Room for real-time coaching moments | Development stalls, ramp time lengthens | Calabrio, 2025 |
| Cushion for schedule variance | Any absence immediately breaches targets | NICE WFM, 2025 |
SQM Group's 2025 study found that centers holding idle time in the 15-18% band posted the highest first-contact resolution scores, because agents had the recovery room to handle each contact well rather than rushing to clear the queue. The centers chasing sub-10% idle time saw repeat contacts climb, which quietly added back the volume they thought they had trimmed. For that dynamic, see our customer support repeat contact rate statistics research.
The cost of idle time
Idle time translates directly into unit cost. An agent is paid for every logged-in hour, so the more of those hours pass without a contact, the more each handled hour effectively costs.
| Idle Time | Handling Hours per 40 Logged-In Hours | Annual Idle Cost per Agent | Source |
|---|---|---|---|
| 10% | 36.0 | ~6,500 dollars | Forrester, 2025 |
| 15% | 34.0 | ~9,800 dollars | Forrester, 2025 |
| 20% | 32.0 | ~13,000 dollars | Forrester, 2025 |
| 25% | 30.0 | ~16,300 dollars | Forrester, 2025 |
| 30% | 28.0 | ~19,500 dollars | Forrester, 2025 |
Forrester's 2025 total cost analysis put the fully loaded cost of a US support agent at 52,000 to 78,000 dollars a year once salary, benefits, tools, and overhead are included. At a 65,000 dollar loaded cost and 20% idle time, roughly 13,000 dollars of that agent's year pays for on-queue hours no contact used. Across a 50-seat center, the same idle rate represents about 650,000 dollars of annual capacity waiting for demand.
The figure is not all recoverable, since the necessary buffer explains part of it. But the gap between a center running 25% idle and one running 17% is real recoverable cost, and it explains why outsourced and blended models compete so effectively. A virtual assistant or dedicated customer support agent at a lower loaded rate shrinks the dollar value of every idle hour, and disciplined workforce management keeps the idle percentage in the healthy band at the same time.
How AI and WFM tools reduce idle time
The tools that trim avoidable idle time work on two fronts: they align staffing to actual demand so fewer agents wait during quiet stretches, and they redirect the idle slack that does occur toward useful work.
| Capability | Avoidable Idle Reduction | Mechanism | Source |
|---|---|---|---|
| Intraday reforecasting | 3-5 points | Matches staffing to real arrival patterns | NICE WFM, 2025 |
| Real-time adherence monitoring | 2-3 points | Cuts off-schedule and unlogged idle | Calabrio, 2025 |
| Omnichannel blending | 3-6 points | Fills quiet-channel gaps with busy-channel work | Gartner, 2025 |
| AI-assisted dynamic scheduling | 4-7 points | Trims overstaffing during low-volume windows | Calabrio, 2025 |
| Combined AI assist and WFM stack | 4-9 points | Compounds the effects above | Gartner, 2025 |
Gartner's 2025 customer service technology survey found that centers deploying a combined AI assist and WFM stack cut avoidable idle time by 4-9 points while holding the protective buffer steady. That combination matters because it removes the wasteful idle without touching the necessary idle. Intraday reforecasting alone reclaimed 3-5 points by aligning the schedule to demand that a static forecast had missed.
The distinction between cutting avoidable idle and cutting all idle is the whole point. Aligning staffing to demand removes the waiting that produces nothing. Cramming contacts into a thinned schedule removes the recovery buffer that keeps quality and retention intact. The first lowers cost; the second trades a short-term efficiency gain for higher attrition. For the schedule side of this, see our customer support schedule adherence statistics research.
Idle time by channel
Channel shapes idle time because concurrency and arrival patterns differ sharply across contact types.
| Channel | Typical Idle Time | Notable Driver | Source |
|---|---|---|---|
| Voice | 20-26% | Sequential handling, recovery gaps between calls | SQM Group, 2025 |
| Email and async | 16-22% | Backlog can be batched to fill quiet gaps | ICMI, 2025 |
| Chat (concurrent) | 12-18% | Multiple sessions absorb the natural pauses | Calabrio, 2025 |
| Social and messaging | 18-24% | Bursty volume creates idle troughs | NICE WFM, 2025 |
| Blended (omnichannel) | 15-21% | Cross-channel routing smooths idle troughs | Gartner, 2025 |
Chat agents post the lowest idle time because concurrency lets them fill the natural gaps in one conversation with progress on another. A chat agent running three sessions keeps idle time low while holding per-conversation pacing comfortable, a structural advantage voice channels do not share. Voice idle time sits higher because calls are handled one at a time and agents need recovery between demanding interactions, recovery that reads as idle but protects quality and retention.
Blended omnichannel routing lands in the middle and offers a planning advantage: idle time on a quiet channel can be redirected to work waiting on a busy one, which smooths the idle troughs that push single-channel figures up. That routing flexibility is why blended centers can carry a healthy buffer without the recoverable waste that shows up in single-channel voice operations.
Frequently asked questions
What is a good idle time rate for customer support agents?
Most workforce management frameworks target 15-20% idle time as a share of logged-in hours. That band leaves enough buffer to absorb random arrival spikes and give agents recovery between contacts while keeping paid but unworked capacity in check. Rates above 25% usually signal overstaffing, while rates below 10% mean occupancy has climbed toward the burnout zone and should be checked against occupancy data before being treated as a win.
How is idle time different from occupancy?
They are two readings of the same measurement. Occupancy is the share of logged-in time spent handling contacts, and idle time is the share not spent handling them, so the two always add to 100%. An agent at 85% occupancy is at 15% idle time. Occupancy frames the number as effort; idle time frames it as available capacity, which makes the recoverable waste easier to see.
Is all idle time wasted money?
No. Because contacts arrive randomly, a center needs spare capacity ready for the moments several land at once, and that capacity spends the quiet intervals idle. This necessary buffer protects service levels and gives agents recovery time. The recoverable waste is the idle time beyond that buffer, which is the gap between a center running 25% idle and one running a healthy 17%.
How much does agent idle time cost?
At a 65,000 dollar fully loaded cost and 20% idle time, roughly 13,000 dollars per agent per year pays for on-queue hours no contact used. Part of that is the necessary buffer, but the excess above a healthy 15-18% band is real recoverable cost, which is why disciplined workforce management and lower loaded rates both improve the math.
How do AI and WFM tools reduce idle time?
They cut avoidable idle by 4-9 points by aligning staffing to real-time demand, monitoring adherence, and blending channels so quiet-channel slack goes to busy-channel work. What sets them apart is that they remove the wasteful idle without touching the protective buffer, so service levels and agent recovery hold steady while cost falls.
Sources
- ICMI Contact Center Industry Benchmark Survey, 2025
- Calabrio State of the Contact Center, 2025
- NICE WFM Industry Report: Workforce Management in the AI Era, 2025
- SQM Group Contact Center Benchmarking Study, 2025
- Gartner Customer Service and Support Workforce Survey, 2025
- Gartner Customer Service Technology Survey, Q1 2026
- Forrester Total Cost of Customer Service Analysis, 2025
- Zendesk Customer Experience Benchmark Report, 2025
- ICMI Workforce Economics Analysis: Occupancy and Idle Time, 2025
- Calabrio Contact Center Benchmark: Scheduling Optimization Data, 2025
- NICE WFM Staffing Model Analysis: Availability and Queueing, 2025
- SQM Group World-Class Contact Center Study, 2025
Related research
- Customer Support Occupancy Rate Statistics 2026
- Customer Support Agent Utilization
- Customer Support Shrinkage Statistics 2026
- Customer Support Schedule Adherence Statistics 2026
Related Reading
Frequently Asked Questions
What is a good customer support agent idle time rate?
Industry benchmarks point to a healthy idle time rate of 15-20% of logged-in hours. Rates below 10% push occupancy toward burnout and quality decline, while rates above 25% indicate overstaffing or inefficient scheduling that leaves paid capacity waiting for contacts.
Does reducing idle time always cut costs?
Only up to a point. Trimming idle time from 25% toward 17% removes recoverable waste and lowers cost per handled hour. Pushing below 10% usually backfires, because it strips out the recovery buffer agents need, drives occupancy past 90%, and raises the attrition and repeat-contact costs that erase the savings.
Can virtual assistants help manage customer support agent idle time?
Yes. Virtual assistants can absorb overflow during peak arrivals and handle routine back-office tasks during quiet stretches, which lets a center run a leaner core team without sacrificing the buffer that protects service levels, smoothing idle time across the day.