What's the difference between response time and resolution time?

The first refers to the time it takes a support agent to respond to a reported issue or request, stating that it has been received and started to be processed. The second measures the time it takes to solve the issue completely, from the moment it was reported, until it has been closed.

What is an acceptable resolution time?

The ideal resolution time varies by industry, customer type, and issue complexity. For example, a simple request should have a much lower TTR than a complex technical issue. Taking that into account, we can agree that an acceptable average Time to Resolution for customer service teams across all industries is approximately 17 hours. But your organization's ideal number will always depend on your specific needs and customer expectations. You should continually strive to improve your resolution time and provide prompt and efficient customer support to increase customer satisfaction.

What are the advantages of measuring resolution time?

- It can help identify trends and patterns in customer issues. By tracking TTR over time, managers can identify recurring issues or areas of high volume, which can help them allocate resources more effectively and prioritize issue resolution. - It can provide useful information to set more realistic Service Level Agreements (SLAs). Based on historical performance, for example, managers can set realistic expectations for customers and help desk agents, improving overall customer satisfaction. - It can improve team morale and increase motivation. Managers can help agents understand the impact of their performance on the team's overall performance and customer satisfaction, leading to better job satisfaction and lower turnover rates.

What are the disadvantages of measuring resolution time?

- It may encourage agents to prioritize speed over quality. If agents are solely focused on reducing time, they may rush through customer interactions or provide incomplete solutions, leading to increased customer frustration and dissatisfaction. To overcome this challenge, consider implementing a system where tickets are evaluated for both speed and quality and provide your team feedback and coaching to ensure they meet both metrics. - It may not be an accurate measure of customer satisfaction. A quick solution is not always the best one, and it may not necessarily result in a positive customer experience. This is especially true for complex issues that require more time and effort. To get a more comprehensive picture of the quality of support provided, consider tracking multiple metrics, such as customer satisfaction and first-contact resolution. - It may not account for the complexity of issues or the effort required to solve them. A simple problem may have a quick TTR, while a more complex case may take longer to solve, even if the agent provides high-quality support. Consider categorizing tickets by complexity or level of difficulty. This way, you can identify context for longer resolution times.

Time to Resolution: How to Measure It And Bring It Down

Q: Why is Time to Resolution a relevant help desk metric?

TTR is a relevant help desk metric for several reasons: - It is one of the vital indicators of the quality of the support your help desk provides. Customers who receive prompt and effective solutions to their issues are more likely to have a positive experience and remain loyal to the company. On the other hand, long resolution times can lead to frustration and dissatisfaction, potentially leading to negative reviews, churn, and revenue loss. - It can help identify areas for improvement in the help desk team's workflow, processes, and training. By tracking TTR, managers can identify patterns and trends that may indicate areas of inefficiency, such as recurring issues, bottlenecks, or skill gaps. Addressing this can lead to faster resolution times and higher customer satisfaction. - It can provide valuable insights into the performance of individual help desk agents. By tracking the TTR for each agent, managers can identify top performers and provide coaching or training to those who may be struggling. Businesses can also use this information to identify opportunities for cross-training or resource allocation to help balance workload and improve team efficiency.

Q: How to calculate Average Resolution Time?

The average Resolution Time formula is: Average Resolution Time = Total Resolution Time / Number of Resolved Tickets.

Q: How to reduce the resolution time KPI?

1. Optimize workflows and processes 2. Provide additional training and support for agents 3. Improve communication and collaboration 4. Set realistic goals and expectations 5. Leverage data and analytics

Time to resolution (TTR) measures how long it takes to resolve a ticket, from the moment it is opened until it is closed.

The formula: Total resolution time ÷ Number of resolved tickets = average time to resolution.

In this article, we'll explore what Time to Resolution is, what counts as "resolved," realistic benchmarks by ticket type. We'll also share some best practices for using TTR as a help desk metric and provide tips for reducing it to improve your customer service.

What is Time to Resolution?

Time to Resolution refers to the time it takes for a support representative to solve a ticket, from the moment it is reported until it is closed.

This metric is commonly used in customer service, technical support, and Incident Management contexts to measure the efficiency and effectiveness of the team or system responsible for providing support and solving issues.

At its core, TTR measures the speed and efficiency with which customer issues are resolved. Thus, it is a critical factor to determine the level of service provided to customers or end-users, as it can directly impact customer satisfaction, retention, and loyalty.

Response time vs. resolution time

When measuring the efficiency of issue resolution, it is essential to distinguish between response time and resolution time. Response time is how fast a ticket gets acknowledged; resolution time is how long it takes to actually fix it — a team can be fast on one and slow on the other.

	Response time	Resolution time
What it measures	Time to the first meaningful reply	Time to full resolution
Starts counting	When the ticket is created	When the ticket is created
Ends counting	First agent response	Ticket closed or solution accepted
What a good number tells you	The ticket was seen and expectations were set	The issue was actually solved

A fast response builds trust while the customer waits — it doesn't guarantee a fast or good resolution. The two are worth tracking side by side, not as substitutes for each other.

The formula (and what counts as resolved)

Time to resolution = Total resolution time ÷ Number of resolved tickets

Example: your team closes 40 tickets this week. Add up every ticket's open-to-close time and the total comes to 320 hours. 320 ÷ 40 = 8 hours average time to resolution.

What counts as “resolved” depends on how your team defines the end of the resolution process. You can measure TTR until the ticket is marked resolved, until the customer accepts the solution, or until it is officially closed.

The best option depends on what you want TTR to tell you:

Marked resolved: Works well when agents can reliably identify when an issue has been fixed, even if the ticket remains open for administrative reasons.
Customer accepts the solution: Gives more weight to the customer experience, but response delays or lack of confirmation can extend TTR even after the technical work is complete.
Officially closed: Provides a clear endpoint for reporting, but closure rules can add time that has little to do with the actual resolution.

Whichever definition you choose, apply it consistently across the tickets you compare. Reopened tickets also need a defined rule: you can count the first resolution or continue measuring until the ticket is finally resolved.

How to calculate average Resolution Time on InvGate Service Management

Calculating the average resolution time on InvGate Service Management is simple.

Here are the steps to do it:

Go to Reports > Service > Agents to access the standard Service Agent report.
Select the period for which you want to calculate the Average Resolution Time.
Choose the agents you want to view.
You’ll see the Resolution Time (in hours) metric. It measures the average time between the creation of a ticket and its subsequent closure by the agent, where either the customer accepted the solution or the ticket remained pending. Tickets that did not have an accepted resolution are not included in this average.

And that's it! With just a few clicks, you'll have the Average Resolution Time of your help desk on InvGate Service Management. If you want to try it yourself request a 30-day free trial.

Time to resolution benchmarks by ticket type

TTR benchmarks are more useful when tickets are grouped by type and priority. A single average can hide large differences between a simple question, a standard service request, and a high-impact incident.

Ticket type	Typical TTR reference point	What to consider
Questions / how-to requests	Minutes to same business day	Many can be resolved in one interaction, particularly when knowledge or self-service is available.
Standard incidents	Several hours to 1 business day	Complexity, impact, priority, and escalation paths can move resolution well beyond this range.
Major incidents	Several hours or longer	The immediate goal is service restoration. Track time to restore separately from the time required to fully resolve the underlying cause.
Standard service requests	1–3 business days	Access, software, hardware, and provisioning requests often involve approvals, fulfillment steps, or other teams.
VIP / expedited requests	Defined by a shorter SLA	VIP status should have an explicit service target if it changes the expected fulfillment time.

These are reference points, not universal targets. Published benchmarks show substantial variation depending on ticket mix, organization, automation, and operating model.

What about problems and changes? Problem and change records don't always make good candidates for a general TTR benchmark. A problem can remain open while the team investigates a recurring issue and identifies its underlying cause, so metrics such as time to identify the root cause may be more useful. Changes involve planning, approval, implementation, and validation, making measures such as change lead time and change success rate more appropriate.

Why is Time to Resolution a relevant help desk metric?

TTR shows whether a help desk is actually solving problems, not just acknowledging them fast. It surfaces workflow bottlenecks, skill gaps, and agents who need coaching or recognition. Tracked by ticket type, it feeds realistic SLA targets instead of one blanket deadline for everything. And customers feel it directly: a long resolution time is one of the fastest ways to lose trust — and eventually, the account.

5 Time to Resolution metric best practices

Define upfront what counts as "resolved" for each ticket type, so the number means the same thing every month.
Measure at a level that's actually useful — by team or category, not so granular that it loses the signal, and not so broad that it hides it.
Pair TTR with CSAT and first contact resolution, so a fast average doesn't mask rushed or incomplete fixes.
Dig into the data regularly — trends by category or agent matter more than the raw number on its own.
Use it to set realistic goals and benchmarks based on your own history, not to chase a lower average for its own sake.

How to bring Time to Resolution down

Reducing resolution time is a crucial objective for many help desks, as it can lead to increased customer satisfaction, reduced costs, and improved productivity. Here are some tips on how to reduce the resolution time KPI.

1. Optimize workflows and processes

Review your workflows and processes to identify bottlenecks or areas where delays occur. Look for opportunities to streamline processes and eliminate unnecessary steps that delay resolution times. Consider automation tools that can help speed up processes and reduce manual workloads.

2. Provide additional training and support for agents

Ensure that agents have the skills and knowledge to solve issues quickly and efficiently. Provide additional training or coaching to help them improve their problem-solving and customer service skills. Consider implementing a knowledge management system that provides agents with quick access to relevant information and resources.

3. Improve communication and collaboration

Encourage communication and cooperation between agents and other teams, such as technical support or billing departments. This can help ensure that tickets are escalated or routed to the right team quickly and that information is shared effectively across the organization.

4. Set realistic goals and expectations

Set logical goals and expectations for resolution times based on the complexity of the issues and the resources available. Ensure that agents are not overburdened with unrealistic targets that can lead to burnout and decreased performance.

5. Leverage data and analytics

Use data and analytics to identify patterns and trends in resolution times. Analyze the data to identify opportunities for improvement and track progress over time. Use the insights gained from data analysis to inform decisions about process improvements, training programs, and other initiatives to reduce resolution times.

Estimating time to resolution with AI

Everything above measures time to resolution after the fact. InvGate Service Management's Predict Estimated Time to Resolution (ETTR) does the opposite: the moment a ticket is created, AI estimates how long it will take to resolve — based on ticket type, complexity, and current workload, drawing on patterns from similar past requests.

estimated-time-to-resolution-ai-feature-invgate The estimate shows up for both the agent and the end user, so requesters get a realistic expectation instead of sending "any updates?" messages that pull agents away from actually working the ticket. For agents, it doubles as a prioritization signal — a ticket trending toward a long resolution can be flagged before it puts an SLA at risk.

Frequently asked questions

What's the difference between time to resolution and MTTR? Mean time to resolution (MTTR) is the same calculation — total resolution time divided by number of resolved tickets — under the name more commonly used in incident management. Some teams use "TTR" for a single ticket's time and "MTTR" for the averaged metric; in everyday use, they're interchangeable.

What's a good time to resolution? It depends more on ticket type than on industry: simple questions should close same-day, incidents typically cluster in the single-digit hours, and service requests reasonably take one to two business days. A single blended number across all ticket types hides which categories actually need work — segment before setting a resolution time SLA.

Are there downsides to measuring resolution time? Yes. Used alone, it can push agents to rush or close tickets prematurely, and it doesn't account for how complex an issue was. Pairing it with CSAT and first contact resolution, and categorizing tickets by complexity, keeps it honest.