8.1 What data visual storytelling is
Data visual storytelling is the art of using a narrative, visuals and data to communicate insight and influence an audience. It turns complex information into a simple, clear story. Instead of just showing numbers and charts, you build a narrative that helps people understand what the data means — making it meaningful, relatable and actionable.
Data is the evidence — it must be accurate and properly analysed. Narrative explains what it means, with a beginning, middle and end. Visuals make the pattern clear without forcing anyone to decode a spreadsheet.
Combining the three turns a dry collection of numbers into something that resonates, is remembered, and drives a decision. A chart alone is information. A story is information people act on.
8.2 Storyboarding — plan before you build
A storyboard is a visual plan of your story. It's the first step in making a clear, effective presentation — and it happens on paper, not in slide software.
Open Google Slides, start making slide 1, keep adding until it feels like enough. Result: a disorganised deck with no real point, and a main message buried on slide 14.
Sketch a simple outline first — one box per idea. Focus on structure and flow. Establish your main point early, so the audience knows immediately why they should care.
If your main idea only appears in the final box, consider starting with it — so the audience grasps the key message early and knows why it matters to them.
8.3 The beginning — set the context
Open by introducing the situation. Five questions give you everything you need:
| Element | The question to answer |
|---|---|
| Setting | When and where does the story take place? |
| Main character | Who is taking action? (link them to your audience) |
| Imbalance | What has changed, or created the problem? |
| Balance | What outcome do we want? |
| Solution | How will the change happen? |
Problems and conflict create interest and keep an audience engaged. If the problem isn't clear, the story won't hold attention. Frame it around the audience's problem so they feel connected to the solution — and open by showing the gap between the situation now and what could be.
Setting: the national Department of Science, 2025.
Main character: the Department's research team.
Imbalance: research findings aren't reaching the public — the reports are too technical to understand.
Balance: the public and policymakers can clearly understand and use the research.
Solution: use storyboarding and data storytelling to present findings simply and engagingly.
8.4 The middle — show what could be
Having set the scene, convince the audience why action is needed. This is where your charts live. Keep the focus on the audience: why it matters to them, and what role they can play.
- Give clear examples of the problem.
- Show data that proves the issue exists — supported by your visualisations.
- Explain what happens if no action is taken.
- Share the possible solutions.
- Highlight the benefits of the one you recommend.
- Show the audience why they're in the right position to make the change.
8.5 The end — call to action
Every story needs an ending, and a data story ends with a call to action. Be clear about what you want the audience to do with what you've shared. A strong ending loops back to the beginning: remind them of the problem, show why action is urgent, and finish with the next step.
Data + narrative + visuals = a story. Storyboard on paper first, main point early. Beginning sets the context and the problem; the middle proves it with data and offers a solution; the end asks for action.