How Much Does Call Center QA Really Cost and Is There a Better Way

Every contact center eventually runs into the same QA constraint: the more conversations you want to review, the more people and time you need to review them.

That is why manual QA usually relies on sampling rather than reviewing the full conversation volume. It keeps the workload manageable, but it also creates a tradeoff: your QA team spends significant time reviewing and evaluating calls, your team leaders spend additional time working with those results, and after all of that effort, you are still seeing only a fraction of what is happening across your contact center.

As call volume grows, that tradeoff becomes more expensive. Increasing coverage means increasing QA hours, adding headcount, using more team-leader time, or some combination of all three.

So before looking at another QA solution, it is worth understanding the economics of the process you already have:

What does manual QA actually cost you, how much coverage are you getting for that investment, and is there a better way to do it?

1. Manual QA Is Expensive Because It Takes Time  

Manual QA is time-intensive by design. Reviewing a call is not just about listening to it. The analyst has to evaluate it against your standards, score it, document findings, and prepare feedback that can actually be used.

Research from the Quality Assurance & Training Connection found that nearly half of surveyed contact centers give QA analysts more than twice the call's average handle time to complete an evaluation, while another 25% allocate around twice the handle time. The same research found that 43% of respondents expect a QA analyst to complete around 8–16 evaluations per day.

That throughput is manageable when you are reviewing a small sample. It becomes much harder to sustain once you try to expand coverage.

If your QA team is already close to capacity, increasing the number of calls reviewed usually means one of three things: more QA hours, more QA employees, or less time spent on other work.

And as your contact center grows, the cost grows with it.

2. The Cost Goes Beyond the QA Team

QA does not stop when the analyst finishes the evaluation.

Some of that work naturally continues into the team-leader layer: reviewing findings, checking context, preparing for coaching, joining calibration sessions, and following up on recurring issues.

QATC's 2026 research into call calibration found that 80% of surveyed contact centers involve frontline supervisors or managers in calibration, while 57% require participants to review calls in advance.

You do not need to build an overly complicated model around this. For ROI purposes, the point is simply that some portion of your team leaders' time belongs in the QA cost.

So the real baseline is not just QA payroll. It is QA labor plus the team-leader time required to support that process.

3. And after all that, you are still sampling

This is where the economics of manual QA become most interesting.

You may be spending hundreds of hours every month on QA and management time, but that does not necessarily mean you have visibility across most of your conversations.

McKinsey describes coaches reviewing just four to six calls out of the 500–600 calls an agent may handle in a month. In that example, the team is working from roughly 1% of the agent's conversations.

That means you can invest significant time and money into QA and still have little visibility into the overwhelming majority of what is happening.

If five calls are reviewed, you know what happened in those five calls. You do not necessarily know whether the same behavior appeared once or fifty times across the other hundreds of conversations.

You may miss recurring objections, process failures, compliance issues, changes in customer sentiment, or coaching opportunities simply because those conversations never entered the sample.

And if you decide you want to see more, the answer is usually the same: review more calls and absorb the additional labor.

That is the real limitation.

The cost of manual QA does not just affect your budget. It limits how much of your operation you can realistically see.

4. What would full coverage actually cost?

Take a simple example.

Imagine you have 1,000 calls totaling 700 hours of conversation.

If you wanted those 700 hours reviewed manually, and we use QATC's roughly 2× handle-time benchmark, you would need around 1,400 hours of QA work.

For a conservative labor reference point, the U.S. Bureau of Labor Statistics reports hourly earnings for production and nonsupervisory employees in telephone call centers at roughly $27. This is not a QA-specific salary, so it gives us a relatively conservative baseline rather than assuming a higher specialist cost.

At approximately $27 per hour, 1,400 hours of manual review comes to around $37,800 in direct labor.

And that is still before benefits, employer costs, QA management, reporting, calibration, software, or the team-leader time attached to the process.

Of course, most contact centers would not actually spend $37,800 to review those 1,000 calls.

You would sample them instead and that is exactly the point.

The reason full coverage looks unrealistic is because under a manual model, it is extremely expensive. The way you keep costs under control is by accepting that most calls will never be reviewed but is that really the best way?

5. What if you did not have to choose between cost and coverage?

This is where the equation changes.

With Robonote, those same 1,000 conversations and 700 hours can be processed in under $1,500.

Compare that with the roughly $37,800 in direct manual-review labor required to achieve equivalent full coverage, before the additional costs we have already discussed.

That is around a 96% lower direct review cost in this scenario.

But the bigger difference is not just the price. Robonote can give you full coverage of the calls you process through the platform, rather than limiting you to a small sample simply because there are not enough human hours to review everything.

Instead of adding QA headcount and more team-leader hours every time you want to understand more conversations, you can analyze your full call volume without making human workload grow at the same rate.

That gives you a very different ROI equation: full call coverage, fewer manual review hours, less team-leader time spent supporting the process, and lower cost for that level of visibility.

So when you compare Robonote with your current QA operation, do not look only at what you spend on QA employees today. Look at what that spend buys you.

How many QA hours are you paying for? How much team-leader time goes into supporting them? And what percentage of your conversations are you actually able to see?

With Robonote, automation makes it possible to move beyond sampling and gain full visibility across your conversations without scaling QA costs at the same rate.

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