One Simple Reason No One Cares about Your Data Visual
We respond well when people remember things about us—specific things, like our names or our birthdays or our favorite foods or our unusually fuzzy pet llama named Roberto. It makes us feel important.
This same concept applies to data visualization. Your audience will care about your data visualization if you show you care about your audience’s needs. You can show you care (and in turn persuade your audience to care about the viz) by working to understand specifics about your audience.
Google Maps is really good at knowing specific, meaningful things about you when you use the tool. It knows because it asks.
Behold, one of the simplest and most powerful questionnaires on the Internet:
I type in “ice cream,” and Google now knows something specific and important about me. It knows I want ice cream. It provides a data visual to help me fill my specific, named, identified need:
This is why people love Google Maps. It cares about their needs.
If Google Maps didn’t care, it might give me something like this:
There’s nothing specific to me in this data visual. I can’t see what I want to see—a way to get my triple chocolate, caramel chunk two-scoop into my mouth as fast as possible. I’m lost in a sea of irrelevant locations.
Often times the data visuals we make are more like the latter map than the former. We give people too much information.
This ultimately waters down our visuals and weakens their impacts. To make a data visual meaningful to someone, you absolutely must filter it according to their specific needs. Remove anything that is not important to your audiences’ needs, and you are left with something that can make a difference.
Identifying specific needs and writing them down is often overlooked. Its power is excruciatingly underestimated. In truth, it’s the core of everything we do as data scientists. It is the foundation.
In every data project you ever touch, you should dedicate enough time to be able to write down—in specific terms—what your audiences’ needs are.
There is a lot we can discuss on this topic, but here is a simple procedure you can follow today, right now, to have a measurable impact on the effectiveness of your data visuals. Here is the process:
- Write down in specific terms three to five needs you think your audience has
- Share these items with your audience and get feedback
- Revise your list according to the feedback
- Repeat as needed
There it is. Write, Talk, Revise, Repeat. And the key to it all—be specific.
In our next email, we’ll dive deeper into how to do this procedure and provide some examples. We’ll talk about some specific questions you can ask and some common needs different people have that you can use as a starting point, and we’ll discuss strategies to get good feedback from your audience.