What does long response time cost your customer service?
Long response times cost more than dissatisfied customers. They cost lost enquiries, worse reviews, more chasers, more repeat calls and more pressure on agents.
And ultimately, customers who start to doubt whether they can get help when they need it.
When customers wait too long, one of three things typically happens:
- They hang up.
- They write again in a different channel.
- They stay in the queue but start the conversation irritated.
All three scenarios come at a cost.
Because the problem doesn't go away just because the customer gives up the first time. Often the enquiry comes back. As a new call. A new email. A chat. A complaint. Or a bad review.
That's why long response times in customer service are rarely just a capacity problem.
It's often a knowledge problem.
Customers don't just wait because there aren't enough agents. They also wait because agents take too long to find the right answer.
What drives response times up?
When response times rise, the first reaction is often to look at staffing.
Do we have enough people? Is the schedule right? Are there too many enquiries?
These are relevant questions. But they don't explain the whole problem.
In many contact centres, response times are driven up by something more fundamental: agents can't find answers quickly enough.
There are three causes in particular that keep recurring.
| Cause | What happens in practice? | Effect on response time |
|---|---|---|
| The agent can't find the answer | The customer is put on hold while searching happens | The queue moves more slowly |
| Knowledge is scattered | The answer sits in emails, documents, Teams or with colleagues | The enquiry takes longer |
| The agent is unsure | The answer is double-checked with a colleague or team leader | More internal interruptions |
All three are knowledge problems.
If the agent has to search several systems, ask a colleague, or double-check whether a process still applies, the enquiry takes longer. And when each enquiry takes longer, the queue grows.
That's how long response times arise in practice.
Not necessarily because agents work slowly. But because the path from question to answer is too long.
Response time doesn't only fall by hiring more people. It falls when each enquiry becomes easier to resolve.
Response time vs. handling time — what's the difference?
Response time and handling time are often confused. But they aren't the same.
| Term | What does it mean? | Where does the customer notice it? |
|---|---|---|
| Response time | The time before the customer gets contact or an answer | In the queue, inbox or chat |
| Handling time | The time the agent spends on the enquiry itself | During the conversation or case processing |
Response time is what the customer notices first. How long does it take before someone picks up the phone, replies to the email, or responds in the chat?
Handling time is what happens afterwards. How long does it take to resolve the case once the agent has started?
The two are closely linked.
If each enquiry takes longer because the agent has to search for answers, fewer customers can be handled per hour. So the queue grows, and response time rises.
That's why you can't reduce response time in customer service by only looking at the queue. You also need to look at why enquiries take so long to resolve.
First call resolution — the key to shorter response times
Long response time isn't just about how many customers are waiting right now.
It's also about how many customers come back because they didn't get an answer the first time.
First call resolution is about how often customer service resolves the enquiry on first contact. When it's low, cases come back into the queue.
A customer calls. Doesn't get a clear answer. Is told customer service will get back to them. Or gets an answer that doesn't solve the problem. Later, the customer calls again.
Now the same case takes up space twice.
That puts pressure on response time for everyone else.
| If FCR is low | Consequence |
|---|---|
| More customers contact you again | The queue grows |
| More cases have to be reopened | Agents spend time on the same problem multiple times |
| More customers switch channel | The load shifts to email, chat or social media |
| More escalations occur | Team leaders and specialists get pulled in |
A knowledge base breaks that cycle by giving the agent a better chance of finding the right answer the first time.
When the customer gets resolution on first contact, the case doesn't return to the queue. That reduces repeat contacts, internal follow-up and perceived waiting time.
That's why first call resolution and response time are inseparably linked.
What does it actually cost to do nothing?
Long response time is often treated as a service problem.
But it's also a capacity problem.
If customers don't get an answer the first time, it creates extra enquiries. And extra enquiries cost time.
A simple calculation might look like this:
| Monthly volume | Share who contact again | Extra enquiries |
|---|---|---|
| 10,000 enquiries | 5% | 500 extra enquiries |
| 10,000 enquiries | 10% | 1,000 extra enquiries |
| 10,000 enquiries | 15% | 1,500 extra enquiries |
If an extra enquiry takes an average of 6 minutes to handle, it means:
| Extra enquiries | Time per enquiry | Extra time per month |
|---|---|---|
| 500 | 6 min. | 50 hours |
| 1,000 | 6 min. | 100 hours |
| 1,500 | 6 min. | 150 hours |
That's time that could have been spent on new customers in the queue.
And that's only the measurable part.
On top of that come customer irritation, more complaints, worse reviews and more pressure on the team. Research into digital contact centres also shows that customers can leave the queue “silently”, without the system clearly registering it, and that this type of abandonment can reduce both efficiency and capacity.
The point is simple:
When customers don't get a quick and correct answer the first time, customer service pays for the same enquiry multiple times.
How to reduce response time without hiring more people
If response time is too long, more agents can be part of the solution.
But it shouldn't be the first answer.
Start by asking: How much of the wait is caused by enquiries taking too long to resolve?
If agents spend time searching, asking, double-checking or forwarding, you can reduce response time by making answers easier to find.
This is where a central knowledge base becomes relevant.
With a knowledge base, the agent gets one place to search for the knowledge needed in the customer conversation. Not in old emails. Not in random documents. Not with the same experienced colleague again and again.
The mechanism is simple:
- The customer asks a question.
- The agent searches one place.
- The answer is found in seconds.
- The customer gets resolution on first contact.
- The case doesn't return to the queue.
This reduces response time in several ways:
- fewer customers are put on hold
- fewer cases are forwarded
- fewer agents have to interrupt colleagues
- more customers get an answer the first time
- fewer enquiries return to the queue
Responza helps customer service gather, update and make knowledge usable in day-to-day work. That turns the knowledge base into an operational tool — not just an archive.
What can you realistically expect?
A knowledge base doesn't eliminate all queues overnight.
Response time is still affected by volume, staffing, seasonal fluctuations, campaigns and unforeseen events.
But if a significant part of your response time is caused by agents searching for answers, double-checking processes or forwarding cases, the potential is significant.
With Responza, customer service can achieve up to 40% higher first call resolution and up to 30% reduction in handling time within one year.
Those figures matter for response time.
If more enquiries are resolved the first time, fewer cases return to the queue. And if each enquiry takes less time to handle, the team can help more customers with the same staffing.
| Effect | What does it mean for response time? |
|---|---|
| Up to 40% higher first call resolution | Fewer repeat contacts in the queue |
| Up to 30% lower handling time | More customers can be helped per hour |
| Faster access to correct knowledge | Fewer holding positions and internal clarifications |
Results will of course vary. The effect depends on your current response time, case types, volume, knowledge structure and how actively the knowledge base is used.
But the next step should be concrete:
Calculate how much time you could free up if fewer customers call back, and if each enquiry becomes easier to resolve.
Long response time is a knowledge problem
Long response time in customer service is often explained by too few agents.
Sometimes that's true.
But often the problem is that agents take too long to find the right answer.
When knowledge is scattered, outdated or hard to find, enquiries take longer. Customers are put on hold. Cases are forwarded. Customers call back. And the queue grows.
The key takeaways are:
- Long response times are often caused by agents not being able to find answers quickly enough.
- First call resolution and response time are linked: the more cases resolved the first time, the less pressure on the queue.
- A central knowledge base can reduce response time without necessarily hiring more people, because agents can find and use correct knowledge faster.
Key takeaways
- 1Long response times are often caused by agents not being able to find answers quickly enough.
- 2First call resolution and response time are linked: the more cases resolved the first time, the less pressure on the queue.
- 3A central knowledge base can reduce response time without necessarily hiring more people, because agents can find and use correct knowledge faster.
Frequently asked questions
What is an acceptable response time in customer service?
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An acceptable response time depends on channel, industry and the customer's situation. Phone and chat typically require a faster response than email, because the customer is actively waiting. The most important thing is to measure response time alongside quality and first call resolution, so shorter waiting times don't lead to worse resolutions.
What is first call resolution, and why is it important?
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First call resolution means the customer's enquiry is resolved on first contact. It's important because customers who don't get an answer the first time often contact customer service again. That increases the queue, puts pressure on response time and creates more work for the team.
How do you reduce response time in a contact centre?
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You reduce response time by both managing capacity and making each enquiry easier to resolve. It requires agents to quickly find correct answers, so fewer customers are put on hold or forwarded. A central knowledge base can help by gathering answers, processes and exceptions in one place.
What is the link between response time and customer satisfaction?
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Long response time creates frustration, especially when the customer has an urgent problem or has already contacted customer service before. If the customer also doesn't get a clear answer, trust drops further. Shorter response time and better first call resolution strengthen the experience, because the customer gets help faster and more effectively.
Can a knowledge base really reduce response time — and how quickly?
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Yes, if a significant part of the response time is caused by agents searching for answers, double-checking or forwarding cases. A knowledge base can make answers easier to find and increase the likelihood the case is resolved the first time. How quickly the effect shows depends on your volume, knowledge structure and how actively the solution is used in operations.
Martine Koehler Andersen
Founder & CEO
Martine skriver om ledelse, vidensgovernance, AI og organisatorisk kvalitet i kundeservice og sagsbehandling. Hun har mere end 20 års erfaring med at opbygge service- og vidensmiljøer i komplekse organisationer i Danmark, Europa og USA.
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