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There’s a lot to learn when it comes to communicating effectively with data. You can improve your charts, strengthen your narrative, get better at understanding your audience, or sharpen your presentation skills. But you probably don’t need to work on all of those things right now. A useful question to ask yourself is:
What skill would make the biggest differen...
During a recent virtual public workshop, a participant raised an interesting question. Paraphrased, it went something like this:
"I can completely see the value of what you're teaching, but how do I tell a story that my audience doesn't want to h...
This post is part of the SWD + AI series—practical guidance for using AI as a thought partner across the various stages of your data storytelling work. If you’re just joining us, start with the first two installments:
One of our top tips for explanatory communications is to use color sparingly and purposefully to help your audience understand your data and message. Color should be an explicit choice, not something your software applies by default, whether that's a graphing tool or an AI assistant generating your first draft. These tools can build a chart in seconds. They m...