Average Resolution Time (ART), or MTTR (Mean Time to Resolution), is the total duration from when a ticket is created until it is fully solved. Unlike FRT (Response) which measures initial speed, ART measures "Operational Completion." In modern SaaS, ART is the metric that true customer loyalty is built upon—because while customers value a quick reply, they only care about the *fix*.
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How to lower ART without cutting corners?
The secret is "Reducing Internal Friction." 1) Smoother Escalation Paths. 2) Better Internal Documentation. 3) Real-time Dev/Support Sync (Slack integrations). 4) Empowering T1 to solve more (KCS). Lowering the "Wait time" between agent handoffs is the fastest way to drop ART.
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Why does ART vary so much by "Issue Type"?
A "Billing" ART might be 2 hours; a "Custom API Bug" ART might be 7 days. You must report ART by "Topic Tag." Reporting a single team average is useless because one complex bug will skew the average for everyone else.
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ART vs. CSAT: The "Efficiency Trap"?
If you push for low ART too hard, agents will close tickets before they are ready, leading to higher "Reopen Rates." ART should always be tracked alongside "Ticket Reopens" to ensure your "Speed" isn't just "Negligence."
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How does ART impact "Time to Value" (TTV)?
For a new customer in onboarding, ART *is* TTV. If it takes 3 days to fix an integration bug during their first week, your "Time to Value" is stalled, significantly increasing the probability of "First-Month Churn."
Knowledge Challenge
Mastered Average Resolution Time (ART)? Now try to guess the related 5-letter word!
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