How to Improve Call Center Efficiency

The average inbound call costs your business $7.16.

Multiply that by thousands of calls a day and the cost of inefficiency becomes impossible to ignore. But the real problem is rarely the number of calls. It is what happens during them.

Your agents without the right context spend the first few minutes asking questions the customer has already answered. Complex issues get transferred, escalated, or unresolved. Customers call back. Costs compound. Improving call center efficiency is not about handling more calls faster. It is about making each interaction count the first time.

This guide covers the metrics to track call center efficiency, the most common sources of inefficiency, and the strategies and tools that help improve performance and customer experience.

What is call center efficiency?

Call center efficiency refers to how well your team uses its time and resources to resolve customer issues. An efficient call center resolves issues quickly, on the first contact, without unnecessary transfers or repeat interactions. The distinction worth making is between efficiency and speed. A call that ends in 90 seconds but leaves the issue unresolved is not efficient. It generates a repeat contact, increases costs, and frustrates the customer. A call that takes 6 minutes but closes the issue completely is far more efficient in practice. The goal is not the shortest call. It is the most effective one.

Call center efficiency metrics to track

You cannot improve what you do not measure. The five metrics below give you the clearest picture of where your operation stands.

First call resolution (FCR): The percentage of issues resolved without the customer needing to follow up. World-class call centers target 90% FCR, while the industry average sits at 70–79%. FCR is the single most direct indicator of whether your team is actually solving problems or just closing tickets.

Average handle time (AHT): The total time an agent spends per interaction, including talk time and follow-up work. The US industry average is 6 minutes 10 seconds. High AHT is not always a problem, but AHT that is rising without a corresponding improvement in resolution quality usually points to inefficiency in the interaction itself.

Cost per call: The total cost of running your call center divided by the number of calls handled. At an industry average of $7.16 per inbound call, even small reductions in unnecessary contacts deliver significant savings at scale.

Transfer rate: The percentage of calls that get transferred to another agent or team. Every transfer resets the interaction, forces the customer to repeat themselves, and extends the time to resolution.

Agent occupancy: The percentage of time agents are actively handling calls or completing follow-up work versus waiting. Too low means overstaffing. Too high leads to burnout and declining quality.

Common reasons call centers lose efficiency

Before reaching for new tools or processes, identify where efficiency is actually breaking down in your operation. These are the most common causes of call center inefficiency.

Agents lack context at the start of interactions. When customer history, previous contacts, and account details are spread across different systems, agents waste the first minutes of every call asking questions the customer has already answered elsewhere. That time adds up across thousands of daily interactions.

Transfers happen too frequently. High transfer rates are almost always a sign of two things: routing rules that do not match customers to the right agent the first time, or agents who lack the authority or training to handle issues within their scope. Both routing gaps and training gaps are fixable with the right process changes.

Complex issues take too long to diagnose. When a customer is trying to describe a problem they are seeing on their screen, and the agent has no way to see it directly, both sides end up guessing. This is particularly costly for technical or product-related queries, where the back-and-forth to recreate the issue can consume the majority of handle time.

Cobrowsing removes that guesswork by letting an agent see and interact with the customer's screen directly, often turning a 30-minute troubleshooting call into a five-minute fix.

Coaching is based on incomplete data. Call centers that coach agents based on a small sample of reviewed calls miss patterns that are only visible at scale. Agents with consistent gaps in specific issue types continue to underperform because the gaps are never identified clearly enough to address.

How to improve your call center’s efficiency

1. Connect your systems so agents start with full context

The fastest way to reduce average handle time is to give your agents the information they need before the conversation starts. When CRM data, interaction history, and account details are visible in a single view at the start of every call, agents skip the diagnostic phase and move straight to resolution.

Connecting your systems so customer data flows into every interaction is one of the highest-impact changes you can make to your customer support KPIs.

2. Fix your routing before adding headcount

If your transfer rate is high, adding more agents will not solve the problem. Calls are landing with the wrong people, and customers are paying the cost in repeated explanations and extended resolution times.

Audit your routing logic against your actual call data. Match the skills your agents have to the issue types they are being asked to handle. Where genuine skill gaps exist, training is more cost-effective than rerouting.

For cases that genuinely need a specialist, UserView's multi-agent sessions let a second agent join an active cobrowsing session directly, so the customer never has to start over with a full transfer.

3. Reduce after-call work through structured templates

After-call work is one of the most overlooked sources of inefficiency. Agents who complete notes and case updates freeform take far longer than those working from structured templates.

Standardising after-call workflows across your team is one of the simplest call center agent efficiency tips to put into practice, since it requires no new software or process overhaul, just a clearer template. Done well, it cuts this time down significantly and frees agents up for the next interaction faster.

4. Coach on patterns, not individual calls

Reviewing a handful of calls per agent per month tells you very little about where efficiency is being lost across your whole operation. Tracking performance data by issue type, by team, and over time reveals the patterns that individual call reviews miss.

When you know which issue types consistently produce high handle times, repeat contacts, or transfers, you know exactly where to focus your coaching. Targeted training on specific failure points improves efficiency far more effectively than general performance reviews.

UserView's session recording makes this easier in practice, since coaches can pull up exactly what happened in a flagged interaction from the session history dashboard rather than relying on an agent's notes after the fact.

5. Give agents the ability to see what the customer sees

For complex or technical issues, the biggest source of handle time is not the resolution itself. It is the time spent establishing what the problem actually is. When a customer describes an issue verbally and an agent tries to recreate it from a description, both your agent and your customer lose time on a problem that could be solved in seconds with direct visibility.

Cobrowsing software gives your agents a direct view of the customer's screen. Rather than asking the customer to describe what they are seeing, your agent joins their live browser session and sees the issue for themselves.

Call center efficiency tools: automation, AI, and cobrowsing

Not every inefficient call needs a human fix. Knowing how call center automation improves efficiency, and just as importantly, where it stops being useful, helps you decide what to hand off and what still needs a person on the line.

Contact center automation can reduce operational costs by up to 30%, with the biggest gains coming from removing repetitive tasks from your agent’s plates. The areas where automation delivers the most consistent results are:

Routine inquiry handling. Chatbots and virtual assistants handle large numbers of simple, repetitive queries without agent involvement, freeing your team for interactions that genuinely need a human.
Intelligent routing. AI-driven routing matches customers to the right agent based on interaction history, issue type, and agent skills, reducing transfer rates from the start.
After-call summarisation. Automated call summaries and case notes cut after-call work significantly, improving occupancy without adding pressure on agents.
Knowledge base surfacing. AI tools that surface relevant articles during a call reduce the time agents spend searching for answers, keeping handle time down without compromising quality.

But automation has a ceiling. When a customer is stuck on something complex, for example, a form they cannot complete, an error they cannot describe, a workflow they cannot navigate — no chatbot can resolve it. That is where cobrowsing comes in. Rather than routing the customer back into a queue, your agent can join their browser session directly, see the exact issue, and walk them through it step by step.

How to make your call center more efficient with UserView

UserView is a cobrowsing platform that gives your support agents direct visibility into what a customer is experiencing in their browser, without any downloads or setup required from the customer.

Your agent joins the live browser session from inside the support tools your team already uses. From there, the interaction goes beyond just seeing the screen. Agents can scroll through the customer's page, click on elements, fill in fields, and annotate directly on the screen to highlight exactly what the customer needs to do next. Rather than describing a step over the phone and hoping the customer finds the right button, your agent can point to it, click it, or complete it for them.

This level of engagement makes a measurable difference on complex interactions. Issues that would take multiple contacts to diagnose get resolved in one. Onboarding flows, payment processes, and form completions can all be worked through together rather than explained over a call. And because UserView masks sensitive fields automatically, customer data stays protected throughout every session without any manual configuration.

For teams that want to build cobrowsing directly into their own platform or product, a Cobrowsing API gives developers a flexible, enterprise-grade integration with end-to-end encryption and SOC 2 certification.

The efficiency gains from reducing handle time on complex interactions, lowering transfer rates, and improving first contact resolution compound quickly across a busy support operation.

Book a demo to see how your team can start resolving more issues in less time.