Call Center Metrics
Call Center metrics and KPIs measure the speed, quality, and cost of customer interactions. Explore definitions, formulas, and benchmarks for tracking average handle time, first call resolution, and service level.
Default directory · A–Z · 15 metrics
Agent Wait Time
Agent Wait Time is the total combined time a support ticket spends in pending status, waiting for a response from the requester. Unlike customer-facing metrics such as First Response Time or Resolution Time, Agent Wait Time measures how long the support agent waits between interactions. High pending time reduces agent efficiency and makes it harder to maintain context across complex tickets.
Average Speed to Answer
Average Speed to Answer (ASA) is the average time a call centre agent takes to answer an inbound customer call, including queue wait time but excluding IVR navigation time. ASA is one of the most important signals tied to customer satisfaction in contact centre operations.
Call Abandon Rate
Call Abandon Rate is the percentage of inbound callers who hang up before reaching a live agent. It reflects queue experience and staffing adequacy, and is closely tied to Average Time to Answer. A rising abandon rate signals that callers are not willing to wait as long as your current setup requires, pointing to gaps in capacity, IVR design, or call routing.
Call Volume
Call Volume is the total count of incoming and outgoing calls handled over a defined period. It applies to inbound support queues, outbound sales teams, and automated call distribution (ACD) systems. Tracking this metric helps determine required staffing levels, identify service gaps, and understand customer behaviour.
Call-in Rate
Call-in Rate is the average number of inbound calls received per paid user of a product or service. It monitors changes in call volume, which can be an early warning sign of product or service issues and potential churn.
Customer Satisfaction
CSAT is a measure of how satisfied customers are with a company's products or services, most often collected through a survey. It captures customer perception at a specific point in time and is one of the most widely tracked customer experience metrics because it is simple to collect, easy to interpret, and flexible enough to apply at both a granular and aggregate level.
First Contact Resolution Rate
First Contact Resolution Rate (FCR Rate) is the percentage of customer support contacts resolved on the first interaction, with no follow-up required from the agent or customer. A high FCR Rate reduces support costs, lowers repeat contact volume, and improves customer satisfaction.
First Contact Resolution Tickets
First Contact Resolution Tickets is the count of support tickets fully resolved on the first agent interaction, with no follow-up contact required from the customer.
First Response Time
First Response Time (FRT) is the average time an agent takes to send an initial reply to a customer support ticket or inquiry. It measures the gap between when a customer submits a request and when your team first acknowledges it — a direct signal of support team availability and operational maturity.
Full Resolution Time
Full Resolution Time is the time duration between the ticket creation date and the ticket solved or closed date. Along with a solution that helps the customer and solves the problem, the less time it takes to get to a resolution is good for you and good for the customer. Resolution time is usually measured in hours or days.
Requester Wait Time
Requester Wait Time is the total combined time a ticket spends in the new, open, and on-hold statuses, measured until the ticket reaches a pending, solved, or closed status. It excludes pending time, which is when the ticket is waiting on the requester to reply, making it a direct measure of support team responsiveness rather than total ticket lifespan.
Ticket Reopen Rate
Ticket Reopen Rate (RR) is the percentage of resolved support tickets that customers reopen, signalling the issue was not fully resolved. Tracking this metric gives support teams a direct measure of resolution quality. A rising reopen rate can point to gaps in agent training, product knowledge, or escalation processes. Left unaddressed, it erodes customer trust and increases support volume.