First response time (FRT) measures the elapsed time between a customer submitting a support request and receiving the first meaningful response. It's a primary SLA metric for customer service operations, particularly for email and chat channels.

FRT matters because customer expectations for response speed have shifted dramatically. Research shows that 90% of customers rate an "immediate" response as important when they have a support question, with "immediate" defined as within 10 minutes. For chat, the expectation is seconds, not minutes.

Channels vary significantly in expected FRT:

| Channel | Customer expectation |

|---------|---------------------|

| Live chat | Under 1 minute |

| Social media | Under 1 hour |

| Email | Under 4 hours | | Phone | Under 2 minutes (queue time) |

AI fundamentally changes the FRT equation. AI agents can respond to chat and email inquiries in seconds, 24/7, with no queue time. This eliminates FRT as a constraint — the question shifts from "how fast can we respond?" to "how well can we resolve?"

However, FRT still matters in hybrid models where AI handles initial triage and some conversations escalate to human agents. The handoff time — from AI escalation to human pickup — becomes the new FRT for those interactions. Teams that optimize AI resolution for easy cases but neglect the escalation path can inadvertently create worse FRT for customers with complex issues.

The most useful FRT reporting segments by channel, complexity, and whether the interaction was AI-handled or human-handled, revealing where speed is excellent and where customers are waiting.

Related terms: average handling time, escalation rate, AI agent