Tickets Solved

Tickets Solved is a volume metric. It tells you how much work a team or agent completed, but not how well. Use it alongside quality metrics — such as Customer Satisfaction Score (CSAT) and First Contact Resolution (FCR) — to get a complete picture of support performance.

Set daily targets

Start by establishing a daily Tickets Solved target for each agent or team. Targets give agents a clear goal and help managers spot performance gaps early. Calibrate targets by role, experience level, and ticket type — a Tier 1 agent handling straightforward queries should not share the same target as a Tier 2 agent managing escalations.

Segment by ticket type and channel

Aggregate Tickets Solved numbers can mask meaningful differences. Break the metric down by:

• Channel: Email, live chat, phone, and self-service tickets have different resolution times and complexity levels
• Tier or escalation level: Higher-tier tickets take longer to resolve and should be weighted accordingly
• Product or issue category: Recurring issue types may signal a product or documentation gap, not an agent performance issue

Track trends over time

A single day's Tickets Solved count is rarely meaningful on its own. Track weekly and monthly trends to identify patterns — seasonal spikes, the impact of new product launches, or the effect of training initiatives. Compare agent-level data to team averages to identify coaching opportunities.

Use it to assess team capacity

When Tickets Solved drops while ticket volume stays flat or rises, that is a signal worth investigating. It may indicate agent burnout, an increase in ticket complexity, or a staffing gap. Pairing Tickets Solved with backlog size and average handle time helps pinpoint the cause.

How to increase Tickets Solved

Several approaches can improve resolution volume without sacrificing quality.

Invest in training. Agents who understand the product deeply and follow consistent resolution processes close tickets faster. Regular training on common issue types, escalation paths, and communication best practices reduces time spent per ticket.

Build a strong knowledge base. Give agents access to up-to-date product documentation, FAQs, and resolution guides. When agents can find answers quickly, handle times drop and Tickets Solved rises.

Use automation strategically. Ticket routing, auto-tagging, and canned responses for common queries reduce manual overhead. This frees agent time for complex tickets that require genuine problem-solving.

Reduce repeat contacts. Monitor customer feedback and ticket data to identify recurring issues. Fixing root causes — whether in the product, documentation, or onboarding — reduces inbound volume and makes Tickets Solved targets easier to hit sustainably.

Common challenges

Volume pressure can drive quality down. When agents are measured only on Tickets Solved, they may close tickets prematurely to hit targets. Always pair this metric with CSAT and reopen rate to guard against this.

Ticket complexity is not equal. Averaging Tickets Solved across agents without accounting for ticket difficulty produces misleading comparisons. Weight or segment the metric where ticket types differ significantly.

Reopened tickets distort counts. If a ticket is solved and then reopened, it may be counted twice in your Tickets Solved total. Clarify how your support platform handles reopened tickets when setting targets and reporting.