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CX & Support Metrics

Handle Time

定義

Handle time is the total time an agent spends handling a single customer contact, including the active conversation plus any after-contact work like notes, tagging, or follow-up.

別名: handling timeAHT (when averaged)

How to calculate it

For one contact, handle time = talk/chat time + hold or wait time + after-contact work (wrap-up). Averaged across many contacts, it becomes Average Handle Time (AHT): total handle time ÷ number of contacts.

For example, a call with 5 minutes of conversation, 1 minute on hold, and 2 minutes of wrap-up notes has a handle time of 8 minutes.

Why it matters

Handle time drives staffing and cost — lower handle time means each agent can serve more customers. But it's a double-edged metric: pushing it down too hard can rush interactions and hurt quality, so it's best read alongside CSAT and first-contact resolution.

よくある質問

Is handle time the same as AHT?

Handle time is the measure for one contact; AHT (Average Handle Time) is that measure averaged across many contacts. They use the same components — talk, hold, and wrap-up time.

Does handle time include wait time?

It includes hold time during the interaction and after-contact wrap-up, but not the time the customer waited in queue before reaching an agent — that's tracked separately as wait time or speed of answer.

関連用語

Average Handle Time (AHT)

Average Handle Time (AHT) is the average total time an agent spends handling a single customer interaction, including talk or chat time, hold time, and after-contact work..

Wait Time

Wait time is how long a customer waits before their contact is answered by an agent — the time spent in a queue, on hold, or waiting for a reply after reaching out..

Average Speed of Answer (ASA)

Average speed of answer (ASA) is the average time a customer waits in the queue before their contact is answered by an agent, measured from entering the queue to connection..

First Contact Resolution (FCR)

First Contact Resolution (FCR) is the percentage of customer issues fully resolved in a single interaction, without any follow-up, callback, or reopened ticket..

Occupancy Rate

Occupancy rate is the percentage of an agent's logged-in, available time that is actually spent handling contacts — including talk, chat, and after-contact work — versus waiting for the next contact..

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Macha は既に運用中のヘルプデスク (Zendesk、Freshdesk、Front、Intercom、Gorgias) の上に載る AI エージェント層です。

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