Menu

Strategy

Call Centre Analysis

What people say when they have given up on doing it themselves.

Reviewing support calls and related interactions to identify recurring friction, root causes, and UX improvement opportunities.

4 min read

What it is

Call centre analysis is a UX and method used to evaluate user with customer support teams, including calls, chats, and emails.

It involves reviewing transcripts, recordings, or logs to identify recurring issues, user frustrations, misunderstandings, and opportunities for improvement.

The focus is on understanding , needs, and barriers through their with support .

Key takeaway

The goal is to inform product, content, and UX improvements that reduce friction and support volume.

When to use it

Use this method when you want to understand real-world user challenges.

It is most useful when:

call volumes are high or increasing
users experience repeated issues
onboarding, features, or flows are confusing
planning UX improvements, content updates, or training
you want to reduce support effort and improve satisfaction

It is less useful when:

interactions are infrequent or unrepresentative
issues are unrelated to usability or product design
Call centre analysis is often used alongside support ticket analysis, usability testing, and error tracking.

How to run it

Set up properly

Define the period or sample of calls, the themes you will classify against, and how you will prioritise. Calls are long and unstructured, so has to be deliberate rather than convenient.

Sort permissions and anonymisation first. Call recordings contain personal and sometimes financial .

Run the method

Call centre analysis examines what people say when they have given up on doing it themselves. Calls carry tone, hesitation and confusion that written flatten out.

  1. Collect recordings, transcripts or logs across a representative period rather than the busiest week.
  2. Classify by issue type, frequency and severity, listening for the question behind the question people open with.
  3. Identify recurring confusion, particularly where callers cannot name the problem. That inability is itself a design finding.
  4. Note the gaps in product, content or that caused the contact. Most calls are a failure somewhere earlier.
  5. Prioritise by impact, using call volume and handling time together, since long calls cost more than their count suggests.

Listen for what people cannot articulate. The most useful calls are the ones where somebody struggles to describe what went wrong, because that is where the broke.

Capture and make sense of it

The value comes from hearing unfiltered difficulty. After the analysis, document:

  • Recurring reasons for contact, grouped by
  • Points in the journey generating the most calls
  • Language callers use, which rarely matches your
  • Priorities weighted by volume and handling cost together

Use this to remove the reasons for calling. Contact volume is a design metric that finance already tracks.

Key takeaway

Use this to improve UX, reduce support load, and enhance user satisfaction.

What to look for

Focus on:

Common Questions: frequent reasons users contact support
Friction Points: steps, content, or flows causing confusion
Severity: issues that have high impact on user satisfaction
Patterns: recurrent issues across users, channels, or scenarios
Opportunity: improvements that prevent calls and improve experience

Where it goes wrong

Most issues come from:

If aren’t acted on, support issues persist.

Sampling the busiest week, which is not a representative one
Classifying on the opening line rather than the actual need
Listening for individual complaints rather than patterns
Ranking by call count and ignoring handling time
Handling calls better instead of removing the reason for them

What you get from it

Done properly, this method gives you:

Tone and hesitation that written channels flatten out
The journey stages generating the most contact
The words callers use, which rarely match your interface
Priorities weighted by volume and cost together

Key takeaway

It helps create smoother, more intuitive experiences for users while reducing support burden.

Get in touch

If this sounds like something you need, we can help you analyse your call centre interactions to uncover friction, prioritise improvements, and create a smoother, more intuitive experience for users.

No guesswork. No assumptions. Just actionable insights that make a difference.

FAQ

Common questions

A few practical answers to the questions that usually come up around this method.

What is call centre analysis in UX?

It is a method for reviewing support interactions to uncover recurring user problems and friction points.

When should you use call centre analysis?

Continuously or after product updates, onboarding changes, or process improvements.

What can you analyse?

Call recordings, chat transcripts, logs, and support interactions.

What do calls carry that tickets do not?

Because calls carry what tickets do not: tone, hesitation, and the questions people ask before they can even name the problem. Rising call volume on a single topic is usually a design failure with a measurable cost already attached to it.

Does call centre analysis improve UX?

Yes. It reduces user friction, prevents recurring issues, and improves satisfaction.

Quick take

If call volume spikes on one topic, you are paying for a design problem twice: once in the failure and once in the call.

LET'S WORK TOGETHER

Ready to improve your product?

UX, research and product leadership for teams tackling complex digital services.

Previous feedback

I had a fantastic experience working with Andy. One of his most impressive achievements during our time at NHS HEE was masterminding a deeply complex information architecture for a new platform that brought together a large number of legacy websites.

Will Parkhouse

Senior Content Designer