Average Resolution Time

What is Average Resolution Time?

Average Resolution Time (ART) is the average time from when a customer or user reports a problem until that problem is completely resolved. Widely used in IT helpdesk, customer support, and technical support departments, it’s a fundamental KPI measuring both “response speed” and “service quality.” Unlike “reply speed” alone, calculating actual resolution time reveals overall process efficiency.

In a nutshell: “Time from visiting a doctor for illness diagnosis through complete recovery.” Initial diagnosis alone doesn’t cure; treatment, follow-up, final confirmation all constitute “full recovery.”

Key points:

• What it does: Automatically measure and analyze all time from ticket creation through final closure
• Why it matters: Directly impacts customer satisfaction and helpdesk department efficiency improvement
• Who uses it: IT departments, customer support, banks, medical IT, manufacturing—support departments across all sectors

Calculation method

ART is calculated as follows:

ART = (Total resolution time for resolved tickets) ÷ (Number of resolved tickets)

For example, if 100 tickets were completely resolved in a month with combined 5,000 hours resolution time, ART = 5,000 ÷ 100 = 50 hours.

Benchmarks

Setting differentiated targets by severity is standard practice.

How it works

ART measurement begins by recording ticket creation time. When users report problems, the system automatically timestamps and issues unique ticket ID (for example: INC-2025-12345). Helpdesk staff then assess priority, conduct root cause investigation, implement solutions, confirm with user, complete documentation.

A critical point: how “wait time” is handled. Waiting for user response or external vendor replies—how to count this “idle time”—varies by organization. Many count only actual support team work time, while others count “all elapsed time” from ticket creation to resolution. Finally, when users confirm problem resolution and the ticket is formally closed, ART measurement ends.

Main benefits

Customer satisfaction improvement is the biggest benefit. Rapid problem resolution reduces user frustration and increases support department trust. Service Level Agreement (SLA) achievement feasibility assessment becomes possible. If target ART is “critical problems within 2 hours,” personnel planning and technology investment necessity can be judged. Additionally, improvement priority sequencing is achievable. By analyzing whether long ART results from “slow information gathering” or “complex technical problems,” improvement efforts can concentrate. Finally, cost optimization results. Shorter ART enables the same staff to handle more tickets, improving staffing efficiency.

Real-world use cases

SLA compliance monitoring Banks promise customers “high-priority incidents resolved within 4 hours” via SLA. Daily ART data monitoring ensures SLA violations don’t occur, adjusting resource allocation accordingly.

Technical support improvement planning If average ART is 1.5x target, detailed root cause analysis begins. Knowledge base enrichment, automation tool deployment, staff increases—optimal solutions are selected.

Multilingual support quality management Global companies providing multi-language support can aggregate ART by language, providing additional training to slower-responding teams, maintaining uniform quality.

Benefits and considerations

ART’s main benefit is visualizing the complete resolution process. However, complexity is ignored—setting identical ART targets for difficult technical problems and simple questions is unfair. Layer-wise analysis by problem complexity is necessary. Additionally, customer-caused wait time inclusion difficulty is challenging. If customers delay decision-making preventing server restart, should this waiting count toward ART? Furthermore, short ART doesn’t necessarily indicate quality. Rushing produces incomplete solutions, increasing re-reports and ultimately degrading quality. Comprehensive evaluation combining ART, “first contact resolution rate,” and “customer satisfaction” is essential.

Related terms

• First Contact Resolution (FCR) — Resolving completely on first contact. Long ART with high FCR indicates high business value
• Service Level Agreement (SLA) — ART target commitments within contracts
• Ticket Management System — IT Service Management foundation automatically measuring ART
• Root Cause Analysis (RCA) — Identifying why ART is long, driving improvements
• Knowledge Management — Information foundation needed for ART reduction

Frequently asked questions

Q: What’s the difference between ART and “first response time”? A: First response time is “duration until initial support agent replies”; ART is “complete resolution duration.” Fast initial response, if multiple exchanges follow, produces long ART.

Q: Should different-complexity tickets be measured together for ART? A: Avoid it. Layer ART measurement by priority and complexity, setting respective targets. Combined measurement obscures complex problem reality.

Q: How do I improve ART? A: Knowledge base enrichment, automation tool deployment, team training enhancement, staff increases are available. Investigating root ART causes and tackling highest-impact measures first is important.