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Resolution Rate

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What is Resolution Rate?

Resolution rate is the percentage of support requests successfully resolved within a defined scope, whether that scope is a specific time window, a support tier, or a single interaction. The most common formula divides resolved tickets by total tickets received, then multiplies by 100.

The term covers several related sub-metrics. First Level Resolution (FLR) measures tickets resolved without escalation to a higher tier. First Contact Resolution (FCR) measures tickets resolved during the initial interaction. SLA resolution rate tracks whether tickets were closed within agreed timeframes. Each answers a different operational question, and a single ticket can satisfy one while failing another.

Key Takeaways

  • Metric Family: resolution rate includes FLR, FCR, SLA resolution rate, and automated resolution rate.
  • Calculation Basis: resolved tickets divided by total applicable tickets, expressed as a percentage.
  • Net vs. Gross: net variants exclude tickets structurally impossible to resolve at a given tier.
  • Companion Metrics: reopen rate and CSAT validate whether resolutions are genuine and satisfactory.

Why Resolution Rate Matters

Resolution rate tells internal support teams whether requests are actually getting solved, not just closed. For IT, HR, and operations teams managing growing request volumes, it connects directly to cost, speed, and employee experience.

  • Cost Control: each escalation from Level 1 to Level 2 adds roughly $40 per ticket in additional support cost.
  • Faster Employee Outcomes: higher first-level resolution means fewer handoffs, shorter wait times, and less back-and-forth for employees.
  • Capacity Planning: tracking resolution rates by category reveals where teams need better documentation, training, or automation.
  • Service Quality Validation: pairing resolution rate with reopen rate exposes premature closures that inflate numbers without fixing problems.

Resolution Rate in Action

A three-person IT team at a 350-employee company notices its FLR hovering around 60%. Digging into the data, they find that password resets and software access requests account for most escalations, not because they require specialized skills, but because agents lack the right tools and knowledge base articles. After deploying AI-assisted triage and self-service options for those two categories, the team's FLR climbs to 82%, freeing agents to focus on complex infrastructure work instead of repetitive coordination.

How Siit Supports Resolution Rate

Siit gives internal support teams the tools to resolve more requests at the first point of contact, with less manual effort.

  • AI Triage and Routing: automatically classifies incoming requests and routes them to the right team with full context, reducing misrouting and unnecessary escalation.
  • AI-Powered Workflows: execute multi-step processes (approvals, provisioning, system updates) end-to-end across 50+ native integrations, so routine requests resolve without human intervention.
  • Analytics and Reporting: track resolution rates, SLA compliance, reopen rates, and response times across IT, HR, and operations from a single dashboard.
  • SLA Management: set resolution targets per priority level and team, with automated alerts when tickets approach breach thresholds.

With requests captured through Slack, Microsoft Teams, email, and the self-service portal, Siit helps teams resolve issues where employees already work, without adding friction or new interfaces.

Want to improve your team's resolution rate? Book a demo today.