MTTR

What is MTTR?

MTTR most often stands for Mean Time to Resolve, the average elapsed time from when an incident or request is opened to when the issue is fully closed.

The acronym is frequently misunderstood because the "R" can refer to four different measurements: Repair, Recovery, Respond, or Resolve. Each tracks a different window and produces a different number, so teams must define which variant they're using before tracking.

For internal service desks, Mean Time to Resolve is the standard and is typically measured in business hours, not clock hours. An incident opened Friday at 4 p.m. and closed Monday at 4 p.m. represents eight business hours, not 72.

Key takeaways

• Mean Time to Resolve: Average elapsed time from ticket open to full resolution, measured in business hours.
• Four Variants: Resolve, Repair, Recover, and Respond each measure different windows and must not be confused.
• Internal Metric: Tracks how the team performs, distinct from an SLA that defines what the business expects.
• Quality Pairing: Pair with ticket reopen rate so low MTTR never reflects premature closures.

Why MTTR matters

MTTR is one of the most important service desk metrics because it directly shapes employee experience. When a request waits days for resolution, the cost compounds across every affected person in lost productivity and frustration.

• Reveals Efficiency: A low MTTR shows the team resolves issues quickly, improving satisfaction and reducing business disruption.
• Translates to Dollars: Resolution time multiplied by affected users and cost per minute converts delay into concrete productivity loss.
• Exposes Bottlenecks: Segmenting MTTR by category surfaces coordination breakdowns between IT, HR, and Finance that inflate resolution times.
• Justifies Investment: Productivity and cost figures from MTTR provide evidence for staffing, tooling, or process improvements.

MTTR in action

Consider a 250-person company where an employee requests access to a project management tool Monday morning. The service desk acknowledges the ticket within 30 minutes, but provisioning requires manager approval and Finance budget confirmation.

The manager approves Tuesday afternoon. Finance confirms Wednesday morning. IT provisions the account Wednesday at 2 p.m. Total elapsed time: roughly 22 business hours. Actual IT work: about 15 minutes. The 22-hour MTTR reflects queue wait, approval chasing, and cross-department handoffs, not technical difficulty.

A team with automated triage, routing, and approvals resolves the same request in under an hour. The difference is process orchestration, not agent speed.

How Siit supports MTTR

Siit targets the structural delays that inflate MTTR: queue wait, manual routing, cross-department handoffs, and missing context.

• AI Triage: Automatically routes incoming requests to the right team, eliminating the first-assign delay that consumes the majority of total resolution time.
• AI Assistant: Deflects routine questions like password resets and policy inquiries before they reach an agent, reducing ticket volume and repetitive work.
• Rapid Approvals & Workflows: Orchestrates cross-department steps so approvals, access provisioning, and equipment requests move without manual handoffs.
• 360° Employee Profile: Gives admins instant visibility into history, equipment, and permissions, removing the diagnostic overhead that precedes resolution.
• SLA Management & Analytics: Sets resolution targets by priority and surfaces MTTR trends by team, request type, and department to pinpoint exactly where delays occur.

Native integrations with Slack, Teams, Okta, and Jamf mean these workflows execute across existing systems without middleware or manual data entry.

Want to reduce your team's MTTR without adding headcount? Book a demo to see how Siit automates the triage, routing, and cross-department workflows that keep resolution times high.