Average Handling Time - AHT: Formula, Benchmarks, and How to Reduce It
Average handling time (AHT) is one of the most important operational metrics in any contact centre. It measures the total time from the start of a customer interaction to its complete end — including the time spent talking, any hold time, and the after call work completed once the customer has disconnected.
AHT matters because it is the essential input to Erlang calculations — the mathematical foundation of all workforce planning. Get AHT wrong and your staffing model is wrong. Get it right and you have a powerful lever for reducing costs, improving service levels, and understanding what is actually happening inside your contact centre.
But AHT is also one of the most misunderstood and misused metrics in the industry. This guide covers the formula, Australian benchmarks, what really drives AHT, how to use it correctly for agent performance — and how to reduce it in ways that actually work.
What AHT measures
Total contact duration — talk time plus hold time plus after call work — expressed as an average across all contacts in a given period.
Why it matters
AHT is the key input to workforce planning. Lower AHT means fewer agents required for the same volume — a direct impact on operating costs.
What this guide covers
The formula, Australian benchmarks, distribution, performance measurement, outlier detection, consequences of misuse, and practical tips for agents, team leaders, and managers.
What is the Average Handling Time Formula?
The AHT formula is straightforward. It has three components — talk time, hold time, and after call work — divided by the number of contacts in the measurement period.
AHT Formula
(Total Talk Time + Total Hold Time + Total After Call Work) ÷ Total Number of Calls
Talk Time
The total time the agent is in active conversation with the customer — from the moment the call is answered to when the customer disconnects or is placed on hold.
Hold Time
Any time the customer is placed on hold during the contact — while the agent looks something up, transfers the call, or seeks assistance.
After Call Work (ACW)
The time spent completing tasks after the customer has disconnected — updating the CRM, writing notes, processing requests, or completing any follow-up actions required.
💡 A worked example
Single call: an agent talks to a customer for 180 seconds, puts them on hold for 30 seconds, then spends 90 seconds completing notes after the call. That contact's handling time is 180 + 30 + 90 = 300 seconds.
Team average: add up all talk time, hold time, and ACW across every contact in the period, then divide by the number of calls. For example: 10,000 seconds total ÷ 20 calls = AHT of 500 seconds. The same calculation works with minutes or hours — just keep units consistent across all inputs.
Average Handling Time Industry Benchmarks
There is no universal target for AHT — what is right for your contact centre depends on your industry, contact type, customer needs, and service design. A 90-second AHT at a utility provider handling billing enquiries is very different from a 90-second AHT at a financial services firm handling complex complaints.
That said, benchmarks provide useful context for understanding where you sit relative to peers. The Australian contact centre industry benchmarking data provides some of the most relevant local data available.
Real-time Australian AHT data
ACXPA's Australian Call Centre Rankings program publishes AHT data collected via independent mystery shopping across multiple industry sectors — Banks, Car Insurance, Councils, Energy Providers, Internet Providers, and TAFEs. This is externally measured data (not self-reported) providing a genuine benchmark of how leading Australian contact centres are actually performing.
Note: The Rankings measure the total contact duration from the customer's perspective. The full before-and-after AHT component is not captured in the Rankings data — but the contact duration data is still a valuable external reference point.
What Actually Drives Average Handling Time?
This is where many contact centres get AHT management wrong. The instinct is to focus on agents — coaching them to be faster, setting AHT targets, monitoring time. But in most contact centres, the biggest contributors to AHT are systemic factors entirely outside the agent's control.
Understanding the real drivers of AHT is essential for targeting improvement efforts where they will actually deliver results.
Slow or fragmented systems
Agents spending time waiting for screens to load, switching between multiple systems, or re-entering data across platforms. System performance is one of the biggest controllable drivers of AHT — and one of the easiest to quantify with a business case.
Poor access to information
Agents constantly searching for answers — in manuals, shared drives, intranet pages, or by putting customers on hold to ask colleagues. Knowledge Management Systems are proven to reduce AHT significantly while also improving accuracy and compliance.
Inefficient processes
Mandatory call flows requiring unnecessary steps — "is there anything else I can help you with?" prompts, multi-step verification requirements, or ACW processes that demand more fields than are genuinely needed.
Poorly designed IVR and routing
Calls arriving at the wrong agent or team, requiring transfer or repeat handling — each transfer adds to total contact duration and customer effort. Skills-based routing that sends calls to the most appropriate agent is a direct AHT lever.
Agent experience and skill
More experienced agents typically have lower AHT — they know the systems, know the products, and are more skilled at call control. New agent onboarding quality and ongoing coaching directly affect team-level AHT.
Contact type and time of day
AHT naturally varies by the type of enquiry and time of day. Morning shifts may attract more complex, considered enquiries (e.g. home loan discussions at a bank), while afternoon contacts tend to be more transactional. Comparing AHT across different shifts without accounting for contact mix is misleading.
AHT Distribution — Why the Average Can Mislead
One of the most important and least discussed aspects of average handling time is the shape of its distribution. Understanding the difference between normal distribution and Erlang distribution is essential for accurate workforce planning.
Normal Distribution
A normal (bell curve) distribution assumes most calls cluster tightly around the average — with relatively few outliers above or below. If AHT followed a normal distribution, planning models based on the average would be reasonably accurate.
Erlang Distribution
In reality, contact centre call durations follow an Erlang distribution — skewed right, with a tail of significantly longer calls pulling the average upward. This means the average AHT overstates how long most calls are, while underrepresenting how long the longest calls are. For workforce planning — particularly in lower-volume contact centres — using a simple average without accounting for Erlang distribution leads to understaffing and missed service levels.
💡 What this means for your Erlang modelling
ACXPA's Erlang Calculator Pro accounts for Erlang distribution in its modelling — giving more accurate staffing outputs than calculators that simply use the AHT average. See the WFM Hub and Erlang calculators in the Where to Next section.
Using AHT to Measure Agent Performance
Despite every credible contact centre training course advising against it, AHT remains one of the most commonly used metrics to assess individual agent performance. This is a mistake — and understanding why is one of the most important insights any contact centre leader can have.
The fundamental problem is that AHT tells you nothing about the outcome of the contact. Consider this scenario:
Agent 1 — AHT: 200 seconds
Fast — but 80% of their customers call back within 24 hours because the issue wasn't resolved. High repeat contact rate, low FCR, significant additional cost to the business.
Agent 2 — AHT: 400 seconds
Moderate. Resolves most contacts first time. Strong quality scores. Customers rarely need to call back. Genuinely efficient when total cost of ownership is considered.
Agent 3 — AHT: 600 seconds
Longer AHT — but handles the most complex escalations in the team. Highest CSAT score. Longest calls are the most valuable contacts in the queue.
The right approach
Never assess agent performance on AHT alone. Always pair it with quality scores, first contact resolution, and customer outcome data. AHT in context tells a story. AHT in isolation tells a lie.
The AHT Outlier Report — Identifying Who Needs Attention
Rather than tracking individual AHT scores in isolation, one of the most powerful approaches is the AHT Outlier Report — a tool developed from consulting practice that makes it immediately obvious which agents are statistically different from their peers, without jumping to premature conclusions about whether that difference is good or bad.
The concept is simple: plot each agent's average AHT as a dot on a scatter chart, with a band representing one standard deviation from the team mean. Agents inside the band are performing within normal parameters. Agents outside the band — whether shorter or longer than average — are doing something meaningfully different and warrant closer investigation.
Inside the band
Within one standard deviation of the team mean — performing consistently with peers. No specific AHT intervention required; normal coaching applies.
Below the band (low AHT)
Significantly faster than the team. Could indicate excellent efficiency and skill — or shortcuts, non-compliance, or rushing. Investigate before drawing conclusions.
Above the band (high AHT)
Significantly longer than peers. Could indicate complexity in their contact mix, skills gaps, system issues — or simply superior quality and thoroughness. Context is everything.
What Happens When AHT is Used as a Performance Target
When agents are directly measured and managed against an AHT target — particularly when it affects pay, recognition, or disciplinary action — the metric corrupts the behaviour it was meant to improve. The focus shifts from customer outcomes to time management, and the consequences ripple through the entire contact centre.
✕ What agents do
- Finish calls prematurely as they approach the target
- Skip rapport building entirely
- Transfer calls rather than resolve them
- Abbreviate ACW — poor notes, jargon, missing records
- Make more errors under time pressure
- Avoid complex contacts where possible
✕ What the business gets
- Higher repeat contact rates and callbacks
- Declining CSAT and NPS scores
- Compliance risks from incomplete records
- Increased complaints and escalations
- Damaged agent morale and trust
- A metric that looks good but costs more overall
Tips to Reduce AHT — For Agents
While most of the major AHT drivers sit outside an agent's control, there are genuine actions frontline agents can take to handle contacts efficiently without compromising quality.
Prepare your workstation
Have all tools open and ready before your shift starts — CRM, knowledge base, product guides, any supporting systems. Time spent hunting for a login or waiting for an application to load adds directly to AHT.
Master your tools
Invest time in becoming proficient with every system you use — keyboard shortcuts, search functionality in the knowledge base, CRM field navigation. Fluency in your tools is one of the highest-return skills for reducing handling time.
Use the phonetic alphabet
The NATO phonetic alphabet ("A for Alpha, B for Bravo") reduces time spent spelling, re-spelling, and correcting data entry errors — particularly for names, addresses, and reference numbers. Download the ACXPA phonetic alphabet reference card for your desk.
Feed back issues you can't fix
Many AHT drivers are systemic — slow systems, confusing processes, missing information. You can't fix them directly, but flagging them to your team leader creates the opportunity for someone who can to take action. This benefits your whole team.
Invest in continuous learning
Product and process knowledge is a direct AHT lever. Agents who know their products well spend less time searching for answers and handle more contacts within their existing knowledge — meaning less hold time and more confident, controlled conversations.
Tips to Reduce AHT — For Team Leaders
Team leaders have direct influence on AHT through coaching, call review, and team management. These are the highest-leverage actions at the team level.
Side-by-side coaching
Nothing replaces observing your agents in real time. You will spot system navigation inefficiencies, call control habits, and knowledge gaps that recordings alone can't surface.
Coach on call control
Agents with consistently high AHT often benefit from call control coaching — how to acknowledge a customer, redirect without dismissing, and professionally bring a contact to resolution.
Don't ignore low AHT agents
Short AHT can mean efficiency — or shortcuts. Agents consistently below the team norm should be reviewed for quality and compliance, not just praised for speed.
Let agents listen to each other
Sharing call recordings from high-performing agents — with their consent — is a powerful peer learning tool. Hearing how a colleague handles a complex contact is often more influential than a coaching session.
Buddy programmes
Pairing agents with high AHT alongside those who handle contacts efficiently allows real-time observation and organic knowledge sharing — particularly effective for new agents.
Champion systemic issues
When agents flag process or system issues contributing to AHT, follow through — raise them with management and close the loop with your team. Being heard drives engagement and surfaces genuine improvement opportunities.
Tips to Reduce AHT — For Contact Centre Managers
The most impactful AHT improvements in any contact centre come from management decisions about systems, processes, technology, and workforce design. These are the levers that actually move the average — not individual coaching sessions.
Fix it at recruitment
Include a telephone interview in your recruitment process to assess communication skills over phone. Role plays and call control assessments at hiring stage identify candidates who can handle contacts efficiently from day one.
Invest in induction
More experienced agents have lower AHT. Every shortcut taken in induction delays the point at which a new agent is fully competent — meaning elevated AHT for longer. Speed to competency is a direct cost lever and warrants genuine investment.
Optimise IVR and routing
Calls that arrive at the wrong agent or team — requiring transfer, repeat authentication, or cold handoff — add significant handling time. Skills-based routing that matches contact type to agent capability is one of the highest-return AHT investments.
Implement Knowledge Management
Knowledge Management Systems are proven to reduce AHT, improve accuracy, reduce induction time, and improve compliance — delivering positive ROI across multiple dimensions simultaneously. If you don't have one, start the business case.
Build the business case with Erlang
If slow systems are adding 40 seconds to every call, model the staffing impact using an Erlang Calculator. Five fewer agents at $90k fully loaded = $450k saving for a $50k system investment. The numbers make the case — and the business case is what gets budgets approved.
Analyse AHT by contact type
Overall AHT averages hide the real story. Break it down by contact reason, channel, time of day, and agent tenure. The patterns in the segments show you which contact types to tackle first for maximum impact — and prevent you wasting effort on low-volume call types with marginal improvement potential.
Use the Erlang Calculator
ACXPA's Erlang Calculators make it straightforward to model the staffing and cost impact of any AHT change scenario. Essential for building the business case for system, process, or technology investment.
Frequently Asked Questions About Average Handling Time
What does AHT stand for?
AHT stands for Average Handling Time — also sometimes referred to as Average Handle Time. It is the average total duration of a customer contact, from the moment it begins to the completion of all after call work once the contact ends.
What is included in AHT?
AHT includes three components: talk time (active conversation with the customer), hold time (time the customer is on hold during the contact), and after call work or ACW (time spent completing tasks after the customer disconnects — notes, CRM updates, follow-up actions). It does not include time spent waiting for the next contact between calls.
What is a good AHT for a call centre?
There is no universal benchmark for a "good" AHT — it depends entirely on your industry, contact type, and what customers need. The Australian contact centre industry average is approximately 507 seconds (self-reported). However, a low AHT is only good if the contact quality is maintained. The most useful benchmark is your own historical trend — is AHT improving, stable, or deteriorating — combined with quality and FCR data.
Why is AHT important in workforce planning?
AHT is the primary input to Erlang calculations — the mathematical model used to determine how many agents are needed to handle a given volume of contacts at a target service level. Even a small change in AHT has a significant impact on staffing requirements. For example, reducing AHT by 30 seconds in a high-volume contact centre can eliminate the need for several full-time agents, representing substantial annual cost savings.
Should AHT be used as an agent KPI?
No — not as a standalone metric. AHT alone tells you nothing about the quality or outcome of a contact. An agent with a short AHT may be cutting corners or generating high repeat contact rates. Used as a solo performance metric, AHT creates incentives for poor behaviour — rushing calls, skipping processes, unnecessary transfers. Always pair AHT data with quality scores, first contact resolution, and customer feedback before drawing conclusions about individual agent performance.
What is After Call Work (ACW)?
After Call Work (ACW) — sometimes called wrap time or post-call processing — is the time an agent spends completing tasks after a customer contact ends. This includes updating the CRM, writing case notes, processing requests, sending follow-up emails, or completing any admin required to fully resolve the contact. ACW is included in the AHT calculation and is an important component to track separately — high ACW often indicates system or process inefficiency rather than agent performance issues.
What is the Erlang distribution and why does it matter for AHT?
Contact centre call durations follow an Erlang distribution — right-skewed, with a tail of longer calls. Unlike a normal (bell curve) distribution, the average AHT in an Erlang distribution overstates the median call length while underrepresenting how long the longest calls are. This matters for workforce planning because using a simple average in staffing models — without accounting for this distribution — leads to understaffing, particularly in lower-volume contact centres. Erlang-aware planning tools account for this and produce more accurate outputs.
How does AHT relate to first contact resolution?
AHT and First Contact Resolution (FCR) are closely linked — but in a counterintuitive direction. Artificially reducing AHT by cutting calls short typically reduces FCR, as unresolved contacts generate callbacks that add to total contact volume and cost. Conversely, taking slightly longer to fully resolve a contact on first attempt often increases FCR and reduces total cost to serve. The best AHT reduction comes from fixing systemic inefficiencies — not from pushing agents to end calls faster.
Where to Next
Summary: Average Handling Time in Contact Centres
Average handling time is one of the most important metrics in any contact centre — and one of the most frequently misused. As the primary input to workforce planning, even small movements in AHT have significant staffing and cost implications. As a performance metric applied to individual agents without quality context, it drives exactly the wrong behaviours.
The key insight that separates high-performing contact centres from the rest is this: the biggest drivers of AHT are systemic — slow systems, fragmented processes, poor knowledge access, and inadequate routing — not individual agent behaviour. Chasing AHT reduction through agent pressure while ignoring the systemic causes is expensive, demoralising, and counterproductive.
Build your AHT management around the right data (use the Outlier Report, not just the average), the right analysis (pair AHT with quality and FCR before drawing conclusions), and the right investments (fix the systems and processes that are genuinely adding seconds to every contact). That is where the returns are.
