GITNUX MARKETDATA REPORT 2023

Must-Know Help Desk Metrics

Highlights: The Most Important Help Desk Metrics

  • 1. First Response Time
  • 2. Average Resolution Time
  • 3. Ticket Volume
  • 4. Ticket Backlog
  • 5. Customer Satisfaction (CSAT) Score
  • 6. First Contact Resolution Rate (FCR)
  • 7. Escalation Rate
  • 8. Abandoned Ticket Rate
  • 9. Agent Utilization Rate
  • 10. Response Consistency
  • 11. Resolution SLA Compliance
  • 12. Ticket Reopen Rate
  • 13. Knowledge Base Usage
  • 14. Agent Turnover Rate
  • 15. Cost per Ticket
  • 17. Peak Support Hours
  • 19. Training Effectiveness
  • 20. Ticket Category Analysis

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Help Desk Metrics: Our Guide

Measuring the success of your help desk is imperative to delivering incomparable customer service, and the way to do this is through carefully selected metrics. In this blog post, we will explore the most crucial help desk metrics that can effectively guide your customer service strategy. By understanding and monitoring these metrics, you can significantly improve your team’s performance, customer satisfaction rate, and ultimately, your business revenue.

First Response Time - The time taken for a support agent to provide the initial response to a customer’s request or issue.

First Response Time

The time taken for a support agent to provide the initial response to a customer’s request or issue.

Average Resolution Time - The average time it takes to resolve a customer’s issue from the time the ticket was created.

Average Resolution Time

The average time it takes to resolve a customer’s issue from the time the ticket was created.

Ticket Volume - The total number of support tickets created within a specific time period.

Ticket Volume

The total number of support tickets created within a specific time period.

Ticket Backlog - The number of unresolved or pending support tickets at any given time.

Ticket Backlog

The number of unresolved or pending support tickets at any given time.

Customer Satisfaction Score - A measure of a customer’s satisfaction with the support they received, usually collected through post-resolution surveys.

Customer Satisfaction Score

A measure of a customer’s satisfaction with the support they received, usually collected through post-resolution surveys.

First Contact Resolution Rate - The percentage of support tickets resolved during the first interaction between support agent and customer.

First Contact Resolution Rate

The percentage of support tickets resolved during the first interaction between support agent and customer.

Escalation Rate - The percentage of support tickets that need to be escalated to higher levels of support for resolution.

Escalation Rate

The percentage of support tickets that need to be escalated to higher levels of support for resolution.

Abandoned Ticket Rate - The percentage of support tickets that are abandoned or closed by customers without resolution.

Abandoned Ticket Rate

The percentage of support tickets that are abandoned or closed by customers without resolution.

Agent Utilization Rate - The percentage of an agent’s time spent working on support tickets, as opposed to idle or non-support activities.

Agent Utilization Rate

The percentage of an agent’s time spent working on support tickets, as opposed to idle or non-support activities.

Response Consistency - A measure of the variability in response times or quality of responses between different support agents.

Response Consistency

A measure of the variability in response times or quality of responses between different support agents.

Resolution SLA Compliance - The percentage of support tickets resolved within the Service Level Agreement (SLA) timeframes agreed upon with customers.

Resolution SLA Compliance

The percentage of support tickets resolved within the Service Level Agreement (SLA) timeframes agreed upon with customers.

Ticket Reopen Rate - The percentage of support tickets that were reopened after being marked as resolved.

Ticket Reopen Rate

The percentage of support tickets that were reopened after being marked as resolved.

Knowledge Base Usage - A measure of how frequently customers and support agents utilize the self-help resources available in a help desk’s knowledge base.

Knowledge Base Usage

A measure of how frequently customers and support agents utilize the self-help resources available in a help desk’s knowledge base.

Agent Turnover Rate - The rate at which support agents leave the help desk within a given time period.

Agent Turnover Rate

The rate at which support agents leave the help desk within a given time period.

Cost Per Ticket - The total cost of support operations divided by the number of tickets managed within a given period.

Cost Per Ticket

The total cost of support operations divided by the number of tickets managed within a given period.

Frequently Asked Questions

Help desk metrics are measurements used to evaluate and analyze the performance and efficiency of a help desk or support team. They are crucial because they help organizations identify areas of improvement, monitor team performance, and ensure their customers receive the best possible support experience.
Some common help desk metrics related to customer satisfaction include First Contact Resolution (FCR) rate, Customer Satisfaction Score (CSAT), Average Response Time, and Net Promoter Score (NPS). These metrics can give insights into how effectively and efficiently support queries are being resolved and the customers’ overall experience.
By tracking help desk metrics, organizations can identify key areas where improvements are needed, such as response times, resolution rates, and agent performance. This data-driven approach enables organizations to make informed decisions to improve support processes, allocate resources more efficiently, and provide better customer experiences.
Help desk metrics can be used to assess agent performance by monitoring factors such as Average Handle Time (AHT), First Contact Resolution (FCR) rate, agent utilization, and individual customer satisfaction scores. Tracking these metrics can help identify high-performing agents, those who require additional training or support, and overall team productivity.
Yes, help desk metrics can be used to identify trends and potential issues by analyzing data over time to spot patterns or anomalies. For example, an increase in ticket volume could indicate a widespread issue with a product, or a sudden drop in CSAT scores might reveal a problem with a recent support process change. Detecting these patterns early allows organizations to address and resolve issues more effectively.
How we write these articles

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.

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