Can "nothing changed" still be a compelling data story?

Join data storyteller Alli Torban as she shares why "everything is performing as expected" can still be a meaningful data story. Through three examples from the storytelling with data community, you'll learn practical techniques for making "normal" meaningful by establishing expectations, adding helpful context, and giving your audience confidence to make a decision—even when there isn't a dramatic insight hiding in the data.

LINKS

• Show notes

• The storytelling with data book

• Join the SWD community

• Steven’s submission

• Robyn’s submission

• Gian’s submission

• Watch our free AI virtual event LIVE on July 13th, 2026

• Register for the 4-hour, public workshop on August 20th, 2026

How do you teach data storytelling—and how does that change across disciplines, audiences, and experience levels?

Join data storyteller Amy Esselman and members of the storytelling with data university instructor community as they discuss how they help students move beyond analyzing data to communicating it clearly. You'll hear practical teaching strategies, including hands-on critique, real-world datasets, audience-centered assignments, and thoughtful conversations about the role of AI in the classroom.

Whether you're an educator, trainer, team leader, or aspiring practitioner, you'll come away with ideas for helping yourself and others turn analysis into understanding—and understanding into action.

RELATED RESOURCES

• Show notes

• SWD instructor resource hub

• Big Idea worksheet

• Featured guests:

  • Francisco Cruzado Perni

  • Lisa Carlson

  • Simon Condliff

  • Elizabeth Ricks

  • Joel Dunahoe

• Register for our virtual live event on July 13th, 2026! AI for data storytelling: better graphs, slides, and presentations

In this special 100th episode, the storytelling with data team looks back at our favorite podcast moments and shares the episodes we'd recommend depending on where you are in your data storytelling journey.

Whether you're learning the fundamentals, trying to create more compelling stories, thinking more strategically, influencing stakeholders, or presenting with confidence, we've curated special playlists to help you find the right episodes faster.

Along the way, you'll hear memorable clips, practical lessons that have stuck with us over the years, and the moments that changed how we think about communicating with data.

If you're new to the podcast, this episode is the perfect place to start. If you've been with us for all 100 episodes, you'll discover hidden gems worth revisiting.

• Show notes
• https://www.storytellingwithdata.com/podcast/100
• Spotify Playlists

• Learning data storytelling basics: Playlist
• Creating better stories: Playlist
• Thinking strategically: Playlist
• Influencing people and decisions: Playlist
• Presenting with confidence: Playlist
  

Cole and new SWD teammate Alli talk about how to get more comfortable receiving feedback—even if you’re sensitive to critique. They explore how mindset shapes the way you hear feedback, why separating yourself from your work can unlock growth, and how building feedback into your process can help you improve faster. Along the way, they share personal stories—from Cole coaching a fourth-grade presentation to Alli’s early podcasting struggles—and how their own perspectives on feedback have evolved.

You’ll also hear practical tips for asking for better feedback and managing the tension that can come with critique. If you create and share ideas at work, this episode is for you. You don’t need thicker skin—you need a new perspective and a better process.

Related links:

• 8-week online course: plan, create, and deliver your data story (next cohort starts September 2026)—use code Podcast10 for 10% off!
• Register for the upcoming SWD free Live Event: AI for data storytelling
• Podcast episode 6: say it out loud
• Podcast episode 77: Alli Torban on Chart Spark
• Book: storytelling with you
• Join the storytelling with data community to get feedback on your work
• Data Stories podcast episode 133 (with Enrico Bertini, Moritz Stefaner, Cole Nussbaumer Knaflic, Alli Torban, and Jon Schwabish)

In this episode of the storytelling with data podcast, Simon and Amy tackle common presentation challenges submitted by subscribers to the storytelling with data YouTube channel.

They discuss how to turn complex analysis into a clear and engaging story, why storyboarding can help you structure your message before jumping into slides, and how to decide what to include—and what to leave out—when your analysis contains more detail than your audience needs.

Simon and Amy also explore practical strategies for presenting dashboards, balancing graphs and tables, preparing for tough questions, connecting with your audience, and managing nerves. Along the way, they share personal presentation mishaps, hard-earned lessons, and concrete tips for building confidence, reducing filler words, and delivering with greater clarity.

Whether you’re presenting to executives, clients, colleagues, or classmates, this episode offers practical guidance to help you plan, create, and deliver more effective presentations.

Related resources:

• Subscribe to the storytelling with data YouTube channel: https://www.youtube.com/@storytellingwithdata

• Register for the May 14, 2026 virtual workshop: https://storytellingwithdata.com/workshops

• Use code Podcast10 for 10% off

• Book: storytelling with you: https://www.storytellingwithdata.com/books

• Podcast episode 86: speak so others listen: https://www.storytellingwithdata.com/confidentcommunication

• Podcast episode 46: the question of questions 

In this episode of the storytelling with data podcast, Amy talks with Shahar Meir, a data executive with more than 20 years of experience leading data teams at companies including Meta and PayPal. Together, they explore what it really takes for data professionals to move beyond producing dashboards and reports to driving meaningful business outcomes.

Shahar shares why technology alone rarely solves an organization’s data challenges and outlines the four areas he sees mattering most: technology, people, process, and culture. He talks about trust in data, the importance of understanding your audience, and why the best data professionals learn to speak the language of the business rather than the language of tools.

You’ll also hear practical advice for individuals who want to increase their impact: how to better understand the business, how to frame data work in terms of outcomes, and why stepping outside your data silo can be one of the most valuable moves for your career. This is a rich conversation for anyone who wants their work with data to be more strategic, more influential, and more closely tied to real business value. 

RELATED RESOURCES

• Shachar’s LinkedIn | YouTube

• Career unblocking mini-course: career-unblock.shacharmeir.com

• $1M data professional presentation

How do you ensure your data visuals are consistently effective—and on brand? In this episode, SWD data storyteller, Simon Rowe chats with Maxine Graze, Senior Data Visualization Engineer at King, about the process of building data visualization style guides. They explore why “structure liberates,” how to balance aesthetics with usability, and why stakeholder feedback is critical. Whether you're designing for dashboards or decks, you'll walk away with ideas on how to bring clarity and consistency to your data storytelling.

Related Links:

• datavizstyleguide.com – Explore open-source data visualization guidelines

• Better Data Visualizations by Jonathan Schwabish – The book that sparked Maxine’s journey

• Storytelling with Data Resources – Tools, tips, and templates from the SWD team

What if the numbers you work with every day weren’t as neutral as you thought?

In this episode, Mike is joined by Heather Krause, founder of We All Count and longtime quantitative researcher, to unpack a powerful concept: data equity. Together, they explore how every step of a data project—from survey design to chart choices—involves hidden decisions that impact what gets measured, who is represented, and what conclusions are drawn.

Heather shares the seven stages of the data equity framework, explains why choosing a denominator isn’t as simple as it seems, and offers practical ways to apply an equity lens to dashboards, visualizations, and more. Whether you're building a data product, making policy decisions, or designing a business presentation, this conversation will help you become more accurate, efficient, and intentional in how you generate and communicate evidence.

RELATED LINKS

• Learn more at weallcount.com

• Explore the Before & After audiobook → Listen here

Chris Dalla Riva is a musician, data analyst, and the author of Uncharted Territory: What Numbers Tell Us about the Biggest Hit Songs and Ourselves. In this episode, he joins data storyteller Mike Cisneros to talk about musical myths, hidden industry incentives, chart data, and underappreciated hits, as well as the thorny questions about authenticity, categorization, and what it really means to tell an honest story with numbers.

RELATED LINKS

• Uncharted Territory: What Numbers Tell Us about the Biggest Hit Songs and Ourselves | Chris Dalla Riva’s book 

• Can’t Get Much Higher | Chris’s newsletter

• Audiomack | Music streaming service where Chris works on analytics and personalization

• Max Martin Knows How to Create a #1 Hit | Chris’s The Economist article on song intros

• Suno AI | Generative AI tool for music creation discussed in the authenticity segment

• Follow Chris at @cdallarivam

SONGS AND ARTISTS MENTIONED IN THIS EPISODE

• “Want Ads” by Honey Cone
• “House of the Rising Sun” by The Animals
• “Hey Jude” by The Beatles
• “Blinded by the Light” (written by Bruce Springsteen, recorded by Manfred Mann’s Earth Band)
• “Dancing in the Dark” by Bruce Springsteen
• “When Doves Cry” by Prince
• “Believe” by Cher
• “Golden” by HUNTR/X