Support Metrics

First Response Time

Definition

First response time is how long a customer waits between submitting a support request and receiving the first reply, whether from a human agent or an automated system.

In depth

First response time (FRT) measures how long a customer waits from the moment they ask for help to the moment they receive the first reply. It is one of the most watched support metrics because it captures the part of the experience customers feel most keenly: the wait to be acknowledged.

For a single ticket, the calculation is simply the time of the first reply minus the time the request was received. Reported as a metric, it is usually an average across many tickets over a period, and often split by channel, because expectations differ so much between live chat and email.

Speed here is about acknowledgement, not resolution. A customer can get a first response in seconds and still wait longer for the issue to be fully solved, which is measured separately by average resolution time. The two work best read together.

What counts in first response time?

Two choices shape the number. The first is whether you measure in calendar time or business hours: a message sent at 6pm looks slow on a calendar clock but fine if your team is offline until morning. Most teams report business-hours FRT so the figure reflects performance during working hours.

The second is what counts as a "first response". A generic auto-acknowledgement usually should not, because it does not move the customer forward. An AI chatbot answer that actually resolves the question, on the other hand, is a genuine first response, and often an instant one.

What's a good first response time?

There is no single benchmark. A good first response time depends on the channel and on what your customers expect: live chat is judged in seconds to minutes, while email is commonly measured in hours. The right target is one your team can hit consistently across your volume, not a headline number borrowed from a different kind of business.

The most reliable way to bring it down is to remove work from the queue. When self-service and an AI chatbot resolve routine questions instantly, agents have fewer tickets competing for their attention, and the ones that remain get a faster first reply.

Average First Response Time = Sum of All First Response Times / Number of Tickets

Why it matters

It shapes the first impression. The first reply sets the tone for the whole conversation; a fast one signals that the customer has been heard.
It is often an SLA promise. Many teams commit to a first response within a set time, so the metric is tied directly to the commitments they make.
It tracks with satisfaction. Customers tend to rate support more highly when the first reply arrives quickly, even when the full fix takes longer.

Example

A customer emails at 9:02am and gets an automated acknowledgement straight away, then a personal reply from an agent at 9:20am. If you count only human replies, the first response time is 18 minutes; if an AI answer resolves the question, it can be seconds. How you define 'first response' changes the number, so pick one definition and apply it consistently.

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Related terms

Frequently asked questions

How is first response time calculated?

Measure the gap between when a request is received and when the first reply is sent, then average that across your tickets. Many teams measure business-hours first response time, which pauses the clock outside working hours, alongside the raw calendar figure.

What is a good first response time?

It depends on the channel and your customers' expectations: live chat is judged in seconds and minutes, while email is often measured in hours. Rather than aim for a single number, set a target your team can meet consistently and track it against your SLAs.

What is the difference between first response time and resolution time?

First response time measures how long until the customer hears back for the first time. Average resolution time measures how long until the issue is fully solved. A quick first reply does not guarantee a quick resolution, which is why teams track both.

Does an automated first response count?

That is your call, as long as you are consistent. A generic 'we've got your message' auto-reply is usually excluded, but an AI answer that actually resolves the question is worth counting, because it genuinely served the customer.

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