First Response Time (FRT), Explained

First response time, often abbreviated FRT, is the elapsed time between a customer sending a support request and receiving the first reply to it. It measures how long someone waits before any acknowledgement, not how long the whole issue takes to resolve. As one of the oldest and most-watched support metrics, it stands in for how responsive a team feels to the person waiting.

FRT is deliberately narrow. It stops the clock at the first substantive response, regardless of whether that response solves anything. That focus is the point: the first reply is when a customer stops wondering whether they have been heard, and the wait before it is where anxiety and abandonment live. A separate metric, resolution time, covers the longer journey to a fix.

The definitions that quietly differ

Two teams can both report "first response time" and mean different things. Does the clock run only during business hours or around the clock? Does an automated acknowledgement count as a response, or must it be a human? Does it start when the message arrives or when it is assigned? Each choice moves the number substantially, which is why an FRT figure is only meaningful with its definition attached, and only comparable to itself measured the same way.

Does automation count

The rise of AI support forces the automation question. If an AI agent replies instantly, first response time can collapse toward zero — but a fast non-answer is not the same as a fast answer. This is why FRT is most honest when paired with whether that first response actually helped. Measured well, a low FRT driven by real answers is a genuine improvement; measured carelessly, it can flatter a bot that replies quickly and unhelpfully.

Measuring your own FRT

There is no universal target FRT to chase, and quoting an industry-average number is misleading because business hours, channel mix, and what counts as a response all differ. The useful figure is your own, measured with a fixed definition and read as a trend and a distribution. A median and a worst-case percentile tell you more than an average, which a few outliers can distort. Segment by channel, since expectations on live chat and email are worlds apart.

First response time in Evoriqa

Because a Evoriqa agent answers instantly from your knowledge across every channel, the first response to most conversations is immediate. And, importantly, it is grounded rather than a holding message. The analytics dashboard reports AI deflection, resolution rate, and CSAT, so a fast first reply is always read next to whether it resolved the question. When a conversation escalates, it lands in the unified inbox with full context, so the first human response starts from what the AI already gathered rather than from scratch.