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0 reviewsA guide for how to tell clear, data-driven stories that will make an impact.
People with important evidence-based ideas often struggle to translate data into stories their readers can relate to and understand. And if leaders can't communicate well to their audience, they will not be able to make important changes in the world.
Why do some evidence-based ideas thrive while others die? And how do we improve the chances of worthy ideas? In Because Data Can't Speak for Itself, accomplished educators and writers David Chrisinger and Lauren Brodsky tackle these questions head-on. They reveal the parts and functions of effective data-driven stories and explain myriad ways to turn your data dump into a narrative that can inform, persuade, and inspire action.
Chrisinger and Brodsky show that convincing data-driven stories draw their power from the same three traits, which they call people, purpose, and persistence. Writers need to...
