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March 24th, 2026

AI, Dashboards, and Human Decisions: A Conversation with Melanie Tory

  1. AI, Dashboards, and Human Decisions: A Conversation with Melanie Tory Jon 36:13

In this week’s episode, I talk with Melanie Tory, Professor of the Practice at Northeastern University, about how people actually use dashboards in the real world — and why that use often looks very different from what designers intend. Her research reveals that dashboards frequently serve as a starting point for accessing data rather than tools for answering questions directly, with many users simply exporting data to Excel to do their real analytical work. We also explore her work on AI-enabled healthcare systems designed to help clinicians monitor patient risk in intensive care units, including how to visualize uncertainty in ways that busy medical teams can process quickly. And we close with a look at her emerging research on how people are beginning to use generative AI tools for data visualization tasks. It’s a thought-provoking conversation about the gap between the tools we build and the ways people actually work with data.

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Keywords: data visualization, dashboards, dashboard design, dashboard usability, data analysis workflows, Tableau dashboards, Power BI dashboards, human data interaction, Melanie Tory, data communication, dashboard research, analytics tools, business intelligence dashboards, data storytelling, data workflows, PolicyViz Podcast

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My name is Jon Schwabish, and I am an economist, writer, teacher, and data communications expert. I am widely recognized for advancing clarity and accessibility in how analysts, researchers, and scholars communicate their findings. I am the author of four books—Better Presentations, Elevate the Debate, Better Data Visualizations, and Data Visualization in Excel—which provide practical guidance for people looking to improve how they create, present, and communicate data-rich content. I am also the host of the PolicyViz Podcast, the longest running podcast dedicated to helping listeners better understand data and data visualizations.