Misunderstanding what your data tells you can cause you to waste resources. Thanks to modern tools, gathering data is easy; interpreting it is another story. Below are a few methods and tools to visualize data, helping you analyze information accurately and turn them into actionable insights.
1. Define the main points of customer experience
How do your prospects turn into customers? How do your customers become brand advocates? You can answer these questions by plotting your customers’ path from kicking the tires to making a purchase.
Understanding how to visualize data from your customer journey—including touchpoints and departments they interact with—will help you become aware of where to optimize your efforts.
2. Choose a format that represents your company’s goals better
Some tools to visualize data include infographics, heat maps, bar graphs, and pie charts, among many others. Each has a distinct purpose.
For instance, if you want to learn which portion of your website is eye-catching, a heatmap could give you more customer insights than a pie chart. Some scatterplots show every data point, helping you visualize every input’s behavior, while histograms only show statistical summaries.
The right tools to visualize data will depend on what you’re measuring and why you’re doing so.
3. Aim for efficient visualization
Many tools online help you visualize data, even when you aren’t an information designer. However, knowing how to use these tools to visualize data is still essential. Following design principles can elevate your message and make insights much more evident.
Efficient visualization is better for your audience—whether pitching to upper management or educating your customers. Color is among your many tools to visualize data that convey information efficiently. You can color losses and decreases in red and gains and increases in green to quickly tell negative or positive outcomes.
Additionally, words written in larger or thicker sizes are often considered more important than others. You can use this to create contrast and emphasize certain points.
4. Don’t over-explain
Over-explaining defeats the purpose of data visualization; you’re meant to make information more digestible, not overwhelm your audience. It’s much better to keep your data visualizations simple and write your copies and descriptions succinctly and in plain language. These help remove clutter and help you get straight to the point.