AHT is the average time it takes an agent to handle a call, including talk time, hold time, and after-call work, divided by the total number of calls handled. For example, an agent who spends 500 minutes across 50 calls in a day has an AHT of 10 minutes.
AHT = (Talk Time + Hold Time + After-Call Work) / Number of Calls. Talk Time is the time an agent spends actively speaking with the customer. Hold Time is the time the customer spends waiting for the agent to return. After-Call Work (ACW) is the time an agent spends after the call completing related tasks, such as updating an account or completing paperwork.
AHT directly impacts a company's bottom line: the longer an agent spends on a call, the more expensive that call is to handle, and a high AHT can also mean longer wait times for other customers. AHT is also a useful signal for coaching, an agent with a consistently high AHT may need additional training or support.
AI-powered simulation training, such as Zenarate Perform, gives agents a realistic practice environment before they ever handle a live call, which shows up as a lower AHT in several distinct ways:
Benchmarks vary widely by industry and interaction complexity; roughly 6 minutes is commonly cited as an average reference point, but the right target depends heavily on what your specific calls involve.
No. An artificially low AHT can indicate agents are rushing customers or under-resolving issues, which shows up as lower FCR and CSAT elsewhere.
AHT equals total talk time plus hold time plus after-call work, divided by the total number of interactions handled.
Yes, when it's used to make agents more prepared and efficient, real-time coaching prompts, well-practiced scenarios, rather than simply pressuring agents to move faster.
Related Terms: CSAT, First Call Resolution, Simulation Training
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