Show Notes
Want to speak in a way that makes others want to listen? In this episode, Cole dives into the art of confident communication—how to eliminate filler words, command attention with your voice and body language, and project confidence even when you don’t feel it. She shares real-world strategies from working with high schoolers, future business leaders, and university students, plus personal lessons learned in her career. Whether you’re preparing for a big presentation, an important meeting, or simply want to improve how you communicate every day, this episode is packed with actionable takeaways to help you speak with clarity and impact. Related links: Children’s book: Daphne Draws Data Teach kids: Daphne’s Data Detectives Program Worksheet: the story of you Book: storytelling with you: plan, create, & deliver a stellar presentation London event (Apr 27): Daphne Draws Data London event (Apr 28): storytelling and presenting with data masterclass Preorder! storytelling with data: before & after Plush Daphne on Amazon and in storytellingwithdata.com/shop (enter PODCAST10 for 10% off) Many more resources at storytellingwithdata.com
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Does telling a story with data introduce bias? In this episode, Cole explores the tension between objectivity and perspective—and why simply “showing the data” isn’t as neutral as it may seem. If you’ve ever worried that storytelling could compromise rigor, learn how to bring your expertise and point of view to the data while still communicating uncertainty, limitations, and alternative interpretations responsibly.
Cole recently appeared on the Analytics Power Hour, and this was such a great conversation, we're rebroadcasting it here! ———— There’s a version of this episode where AI replaces the data visualization expert entirely, and there’s a version where it’s useless without one. Neither is quite right, according to Cole Nussbaumer Knaflic of Storytelling with Data, who joined Tim, Moe, and Julie to sort out where AI genuinely earns its keep in data storytelling and where it’s just producing a shinier first draft of the same shitty slide. Cole—admittedly a skeptic-turned-convert who once joked she’d retire before having to deal with any of this—walks through why the humans who benefit most from AI are the ones who already have the foundation to know when to ignore it, why “let me look at some options” beats “give me the final chart” as a prompt, and why the analog, pencil-and-paper parts of the process might be the most valuable friction in the whole workflow. Bring your own opinions on whether Claude should ever be handed “the rules” and told to just go.
What can AI help us see, try, or explore that we couldn’t easily do before? Alli shares three standout talks from the 2026 Outlier conference—and three lessons for using AI in data visualization: - Use AI to expand your options without outsourcing your judgment. - Give AI the information it needs to critique its work. - Use AI to find what’s worth visualizing in the first place.