How to visualise conversation data: a guide to charts

Once your calls, chats and emails are transcribed and classified, you are left with something most contact centres never had before: a complete, structured record of what customers actually said. The next challenge is reading it. A spreadsheet of thousands of conversations answers no questions on its own.

The right chart does. Visualising conversation data lets you see demand, sentiment and quality at a glance, spot a trend before it becomes a problem, and share a finding that a colleague can act on. This guide walks through the chart types available in Feelingstream and when to reach for each one.

Start with the question, not the chart

Every useful chart begins with a business question — "why did complaints spike last week?", "which topics take the longest to resolve?", "is the new script reducing repeat calls?" Pick the question first, then choose the visualisation that answers it most directly. A chart that looks impressive but answers nothing is just decoration.

In practice you will filter the relevant conversations, choose what to measure (a count, a duration, a percentage), and then decide how to display it.

The core chart types and when to use them

Bar charts

Bar charts are the workhorse for comparison. Use them to rank call topics, show volumes per channel, or compare agents and teams. When one category dwarfs the rest, a bar chart makes it obvious.

Line charts

Line charts show change over time. Track daily call volume, weekly average handle time, or sentiment across a quarter. They are the fastest way to see whether something is trending up or down.

Pie and area charts

Pie charts show composition at a single point — the share of conversations by channel or topic. Area charts combine composition with time, so you can see how the mix shifts week to week (for example, a topic growing as a proportion of total contact).

Word clouds and concordance

A word cloud surfaces the language customers use, sized by frequency — a quick, qualitative read on what is on their minds. To go deeper, a concordance view shows a search term in the context of the surrounding sentence, so you understand how a word is used, not just how often. See search and concordance for that workflow.

Big-number and table views

Sometimes the clearest visualisation is a single big number — total conversations this month, or first-contact resolution rate — displayed large for a dashboard. Tables remain useful when the exact figures matter more than the shape of the data.

Making trends readable: trendlines and moving averages

Raw daily data is noisy. Two tools cut through it:

• Trendlines add a straight line of best fit, showing the overall direction regardless of day-to-day spikes.
• Moving averages smooth the series by averaging each point with its neighbours, so a weekly pattern (quiet weekends, busy Mondays) doesn't hide the real movement.

Both turn a jagged chart into a clear "is this getting better or worse?" answer.

Filter first, then aggregate

The same data tells different stories depending on how you slice it. Before charting, apply filters — by channel, language, topic, team or date range — so the visualisation reflects the exact segment you care about. Then choose how to aggregate: by day, week or month, and whether you are counting conversations, summing durations, or calculating a percentage. Getting the aggregation right is what separates a meaningful chart from a misleading one.

From chart to decision

A visualisation is a means, not an end. The goal is a decision: a script change, a coaching focus, a staffing adjustment, a fix to a broken process. When a chart reveals a pattern worth acting on, the next step is to package it so others can see it too — which is where shareable Stories come in.

Frequently asked questions

Which chart should I use to compare call topics?

A bar chart. It ranks categories clearly and makes the largest topics obvious at a glance. Add a filter by date range to compare periods.

How do I see a trend without the daily noise?

Apply a moving average or add a trendline. Both smooth out day-to-day spikes so the underlying direction is easy to read.

What is a concordance view for?

It shows a search term in the context of the sentence around it, so you can see how customers actually use a word — not just how often it appears.

Can I visualise calls, chats and emails together?

Yes. Once calls are transcribed, they become text alongside chats and emails, so you can chart every channel in one place or filter to compare them.

Where to go next

• The pillar guide: What is conversation analytics?
• Find the moment: Search and concordance
• Share the finding: Building shareable Stories
• See it on your data: Request a demo

Want to see your own conversations turned into clear, shareable charts? Book a demo and we will visualise your data with you.