Time to resolution (TTR) — also called resolution time or mean time to resolution (MTTR) — measures the total time from a customer first making contact to their issue being fully resolved. It's the truest measure of support efficiency, because it counts the outcome the customer actually cares about: the problem solved, not just acknowledged.
TTR is often confused with first response time (FRT), but they measure different things. FRT is how fast a customer hears back; TTR is how fast their problem is actually fixed. A team can have an excellent FRT — an instant automated reply — and a poor TTR if the work still routes to a human queue. For evaluating AI, TTR is the metric that matters.
In the context of Zowie, the goal is to collapse TTR to near-zero by resolving in the first message. Because Zowie's AI agent executes actions — refunds, order changes, account updates — inside connected systems rather than handing off, the resolution happens within the conversation: no ticket, no queue, no second touch.
Lowering TTR isn't about typing faster; it's about removing the steps between question and resolution — queue waits, triage, knowledge lookup, back-and-forth, and after-hours gaps. Automation that completes the task end to end removes all of them at once.
Track TTR alongside resolution rate (the share of issues fully handled) rather than deflection or containment, which only count interactions that avoided a human — not ones that were actually solved.
In summary, time to resolution is the bottom-line measure of customer-service speed: how quickly the problem is solved end to end. The platforms that move it aren't the ones that reply fastest — they're the ones that resolve in the first message.
Explore: Flows, Automated Resolution Rate, First Contact Resolution