Metrics & KPIs
AHT (Average Handle Time)
AHT measures average total time per customer interaction including talk time, hold time, and after-call work.
AHT measures average total time per customer interaction including talk time, hold time, and after-call work.
Average Handle Time (AHT) is a contact center metric that measures the average total time spent on each customer interaction, including talk time, hold time, and after-call work (ACW). It is one of the most universally tracked operational KPIs because it directly drives capacity planning, staffing models, and per-call cost.
AHT is reported in seconds or minutes. A 6-minute AHT means the average call requires 6 minutes of agent time end-to-end — including any documentation or wrap-up work after the customer hangs up.
AHT = (Total Talk Time + Total Hold Time + Total After-Call Work) ÷ Total Calls
Example: An agent handles 50 calls in a shift. Total talk time = 250 minutes. Total hold time = 30 minutes. Total ACW = 20 minutes. AHT = (250 + 30 + 20) ÷ 50 = 6 minutes.
| Industry | Average AHT |
|---|---|
| BPO (customer service) | 4 - 7 min |
| Technical Support | 7 - 12 min |
| Financial Services | 5 - 8 min |
| Healthcare | 6 - 9 min |
| Sales / Outbound | 3 - 5 min |
| Collections | 4 - 6 min |
These are rough industry averages. The right AHT for your operation depends on issue complexity, agent skill mix, and customer expectations — there's no universal "good" number.
AHT is one of the most misused metrics in contact center management. Driving AHT down can improve efficiency, but it can also damage first call resolution and CSAT if agents rush calls to hit a target. The real goal is to reduce wasted time within calls — searching for information, navigating slow systems, repeating verifications — without compressing the parts of the call that actually resolve the customer's issue.
A 5-minute call that resolves the issue is better than a 4-minute call that ends with the customer needing to call back. The cost of the second call (agent time + customer frustration + churn risk) often exceeds the savings of the shorter first call.
| Driver | What's Happening | Fix |
|---|---|---|
| Knowledge base navigation | Agent searching for answers mid-call | Better KB structure, AI agent assist |
| System latency | CRM or ticketing slow to load | IT/infrastructure issue |
| Dead air | Silent searching, screen toggling | Coaching + tooling |
| Verification overhead | Multiple ID checks, password resets | Streamline verification flow |
| After-call work (ACW) | Manual call summarization and tagging | Auto-summarization tools |
AI-powered call analysis identifies the specific moments within calls where time is being lost — not just the total AHT number. Common findings: 90 seconds per call lost to agents searching for shipping information that lives 4 menus deep in the KB. Or 2 minutes of ACW per call that could be 30 seconds with auto-summarization. Analyzing 100% of calls (instead of sampling 2-5%) makes these patterns visible at scale. Contact centers using automated call scoring typically reduce AHT by 8-15% within 90 days while maintaining or improving FCR — because the time being saved is wasted time, not customer-resolution time.
It depends on the call type. Customer service averages 4-7 minutes, technical support 7-12 minutes, sales 3-5 minutes. The right AHT for your operation is the one that resolves the issue without rushing the customer.
Yes. AHT by definition includes talk + hold + ACW. Some teams report "talk time" separately for tactical purposes, but the full AHT calculation includes all three.
Yes — if AHT is reduced by rushing calls. The right way to reduce AHT is by eliminating wasted time (system lag, KB navigation, dead air), not by cutting customer resolution time.
Daily at the team level for staffing decisions, weekly at the agent level for coaching trends, monthly at the program level for structural improvements (KB, tooling, process).
Last updated: April 2026
