Communicating effectively with data is a discipline with a vast and intimidating landscape. Professionals looking to improve their craft often find themselves overwhelmed by the sheer number of variables they can tweak and refine. You can completely overhaul your charts, strengthen your overarching narrative, invest more time in deeply understanding your specific audience, or dramatically sharpen your live presentation skills. Yet, professionals rarely need to work on all of those complex facets simultaneously. Amidst the endless advice available to analysts, researchers, and business leaders, a single, highly useful question often cuts through the noise: What skill would make the biggest difference in my work today?
This exact question came into sharp focus recently as the team behind the storytelling with data podcast looked back across a major milestone of producing 100 episodes. Rather than simply taking the straightforward approach of asking their internal team to pick and list their personal favorite episodes, leadership posed a far more practical, user-centric question. They asked their colleagues and contributors: When would you actually recommend this specific episode to someone else?
The answers to that question revealed five distinct, recurring areas of focus. Depending on what an individual professional is trying to improve at any given moment in their career, different phases of the podcast archive provide targeted guidance. The exercise demonstrated that professional growth in data visualization and communication is rarely a linear marathon where you must master everything at once; rather, it is a series of targeted interventions aimed at solving the exact communication bottleneck you face today.
Learn: Build Your Foundation
For many professionals, the journey begins when they are relatively new to the realm of data storytelling. At this early stage, you know inherently that you want to communicate more effectively with your colleagues, stakeholders, or clients, but you are still actively figuring out what "good" actually looks like in practice. When you are standing at the starting line, the best strategy is to focus heavily on the core fundamentals. This means mastering the art of choosing appropriate charts for your specific dataset, actively reducing visual clutter that distracts from the core message, using color with genuine intention rather than mere decoration, skillfully directing the viewer’s visual attention, and ensuring your overarching message remains crystal clear.
A common pitfall for beginners is waiting until they feel completely confident and thoroughly educated before they start creating anything substantial. However, breaking through that hesitation is essential for real growth. In one of the foundational early episodes of the storytelling with data podcast, guest Andy Cotgreave offered a piece of advice that the team and its listeners still return to frequently: create, create, create.
The underlying philosophy of this advice is that active practice provides the only reliable way to discover what you do not know yet. It is entirely normal—and indeed expected—that your early work might make you cringe slightly when you look back at it months or years later. Far from being a negative sign, that feeling of retrospective embarrassment is tangible evidence that your standards, taste, and skills are genuinely improving over time. For professionals who find themselves at this formative stage, navigating the vast library of past discussions to find the right entry points can anchor their early efforts and provide a reliable roadmap for building a solid foundation in data communication.
