Extracted from an article by By Jake Porway in "Stanford Social Innovation Review"
How can we use data to both humanize our work and demonstrate our robust social impact?
How can we use data to tell a story without bogging down our audience with numbers and statistics?
How can we inspire using data?
These are just a few of the nearly 200 questions people asked on a survey before my talk atSSIR’s Data on Purpose conference. I thought they represented a fascinating mix of some of the most thoughtful and prevalent questions among conference attendees and, I suspected, among social innovators everywhere.
At DataKind, we use data science and algorithms in the service of humanity, and we believe that communicating about our work using data for social impact is just as important as the work itself. There’s nothing worse than findings gathering dust in an unread report.
We also believe our projects should always start with a question. It’s clear from the questions above and others that the art of data storytelling needs some demystifying. But rather than answering each question individually, I’d like to pose a broader question that can help us get at some of the essentials: What do great data storytellers do differently and what can we learn from them?