Customer Support Manager Metrics – Page 2

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.

Gross Margin is a profitability ratio that measures Gross Profit as a percentage of total revenue. Typically, it is calculated as Gross Profit divided by Revenue. This metric is a key indicator of a company's financial health and operational efficiency.

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 (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.

Ticket Reopens is a count of how many times closed support tickets are reopened after a customer responds with an unresolved issue. When a customer replies to a ticket marked as solved, the ticket automatically reopens and receives an open status. Each reopen increments the count by one. A high Ticket Reopens count signals that resolutions aren't sticking — either because agents are closing tickets prematurely or because the underlying issue isn't being fully addressed.

Ticket Resolution Rate is the percentage of support tickets resolved out of the total number received in a given period. It measures how effectively a customer service team closes incoming tickets, reflecting both staffing capacity and agent efficiency. A rate below 100% means tickets are accumulating; a rate above 100% means the team is working through backlog in addition to new volume.

Tickets, also called customer issues or incidents, are records of user or system-initiated requests captured in an issue tracking system. Each ticket documents a request such as a help inquiry, bug report, feature request, complaint, or automated alert, and tracks it from submission through resolution. Tickets also capture supporting detail including urgency, device information, and customer type to help teams triage and prioritize effectively.

Tickets Solved is the count of support tickets that a customer support agent has marked as solved within a given period. Teams commonly set a daily Tickets Solved target per agent and monitor performance as a percentage of that goal. A solved ticket can be reopened if a customer needs further assistance; tickets that remain solved for a set period convert to closed, which cannot be reopened. Resolution rates vary based on agent experience, escalation level, the product or service being supported, and query complexity.

Time to Value (TTV) measures the elapsed time from when a user selects a product to the moment they first realize tangible benefit from it. Value is typically defined as completing setup and achieving a meaningful first outcome, not just finishing onboarding.