Why it matters
MTTR is the metric customers actually feel. A first reply within 30 minutes is reassuring, but if the ticket then sits open for nine days waiting on a back-end fix, the customer remembers the nine days, not the 30 minutes. Tracking MTTR alongside first-reply time stops a team from optimising purely for the easy metric.
Healthy SME support teams typically land between 4 hours and 2 business days, depending on complexity. Software teams with billing-related questions tend to skew higher because tickets require finance review. E-commerce teams with shipping queries sit lower because the answer is usually a tracking link. Compare your MTTR against your own historical baseline rather than against an industry headline figure, since segmentation matters more than a single average.
A worsening MTTR usually points to one of three problems: ticket volume has grown faster than hiring, agents are escalating too liberally, or knowledge-base coverage has gone stale and agents are reinventing answers from scratch. Each has a different fix, and the analytics need to be fine-grained enough to tell you which is happening.
How KimonDesk handles it
KimonDesk reports MTTR alongside first-reply time, reopen rate, and CSAT on a single analytics page. You can filter by team, agent, channel, and customer tag, and the helpdesk separates business-hour clock from wall-clock so weekends and overnight delays do not skew the average.
The analytics page also flags tickets where MTTR is unusually high for the tag, prompting a review of whether the ticket should have been escalated earlier or whether a knowledge-base article is missing. None of this analytics surface is gated behind a higher tier; it sits in every plan.
Learn more about analytics in KimonDesk, or read the related CSAT definition to pair the two metrics.