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What is Average Handle Time (AHT)?

Average Handle Time (AHT) is the average total time it takes to handle a single customer contact — including talk or chat time, any hold time, and the after-contact work like notes and follow-ups. It's a core efficiency metric, but it should never be optimized at the expense of resolution quality.

What AHT includes

AHT isn't just the conversation. It covers the full effort per contact: the active interaction, any time the customer was on hold or waiting, and the wrap-up work afterward (logging the ticket, updating records, sending a follow-up). Measuring all three is what makes AHT an honest read on capacity.

How to lower AHT the right way

Cut AHT by removing friction, not by rushing customers: saved replies, a complete customer view in one place, and fewer tab-switches all help. Deflecting repetitive questions to an AI agent also lowers AHT indirectly — agents spend their time on complex issues where the time is well spent, instead of retyping the same answer.

Formula

AHT = (Total talk/chat time + Hold time + After-contact work) ÷ Number of contacts

Example: If agents spent 600 minutes total across 100 chats, AHT = 600 ÷ 100 = 6 minutes per chat.

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Questions about Average Handle Time (AHT)

Should I try to minimize AHT?
Not blindly. A very low AHT can mean rushed, unresolved interactions that drive repeat contacts and hurt FCR and CSAT. Optimize AHT alongside resolution and satisfaction, not in isolation.
What's a good average handle time?
It varies by channel and complexity, so there's no universal target. Benchmark against your own history and segment by issue type — a billing question and a technical bug shouldn't share one AHT goal.

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