👉 When you share an insight in a data story, you need to guide the audience on what they should do with it (i.e., a recommendation or solution options). 👉 Once you have a good insight to share with others, you must then communicate it effectively by crafting a narrative around it. Unless a meaningful insight materializes, you may not have a story to share. 👉 When you move from storyframing to storyforming, you're shifting from monitoring a strategic set of information (KPIs) to discovering insights via analysis. I'd like to call out a few things in the new diagram: I had to revise the diagram for an upcoming #datastorytelling workshop, so I thought I'd share the updated version here. In a past article ( ), I introduced the concept of the insight funnel, but it was missing the new storyforming step. Last week, I published a new blog post ( ) that introduced two preceding steps that occur before we tell a story with data: storyframing and storyforming. If you're a fellow student of the biases that cloud our logic, decisions, and the human minds, what other books, experts, or articles do you recommend? The Undoing Project: A Friendship That Changed Our Minds Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions Psychological Paths of Least Resistance (article) (h/t Chris Sandoval) Here are some of my favorite resources for self-study: I'm fascinated by Behavioral Economics a relative recent field of study that explains so much of our irrational human behavior. To understand complicated situations with multiple causes, we need curiosity, time, patience, multiple vantage points, and a truly Open Mind. Strategy and design work require slow, careful thinking.īut we are conditioned for quick reactions, not draining deliberations.
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