Communicating effectively with data is a complex discipline that encompasses a vast array of competencies. Professionals striving to improve their analytical communication often find themselves overwhelmed by the sheer number of elements they could potentially work on. There are charts to redesign, narratives to strengthen, audiences to understand, and presentation skills to sharpen. Yet, trying to improve every facet of data communication simultaneously is rarely an efficient strategy for professional growth.
A more useful question for analysts, business leaders, and communicators to ask themselves is straightforward yet profound: What skill would make the biggest difference in my work today?
This question of targeted improvement recently became the focal point for the team behind the storytelling with data podcast as they marked a significant milestone: the release and retrospective analysis of their first 100 episodes. Rather than simply polling their team members to select their favorite conversations from the archives, the leadership posed a more practical, application-driven query: "When would you recommend this episode to someone?"
By examining the podcast’s extensive catalog through the lens of specific listener needs and professional scenarios, the team discovered that the accumulated wisdom of 100 episodes naturally distills into distinct areas of focus. Depending on what a professional is trying to improve at any given moment, the vast landscape of data communication can be navigated by identifying the precise competency required to unlock better results.
Learn: Build Your Foundation
For many professionals, the journey into data communication begins with a sense of uncertainty. Those who are relatively new to the discipline often know they want to communicate more effectively with numbers and insights, but they are still actively figuring out what "good" actually looks like in practice. At this foundational stage, the advice from seasoned practitioners is to concentrate heavily on the fundamentals rather than getting bogged down by advanced theoretical concepts.
The baseline priorities at this early stage involve mastering the basics: choosing appropriate charts that match the data and the message, aggressively reducing visual and cognitive clutter, using color intentionally to guide the human eye, actively directing attention to key takeaways, and ensuring that the overall message remains clear and unambiguous to the intended audience.
However, a common pitfall for beginners is waiting until they feel completely confident before attempting to create anything. The fear of producing substandard work often paralyzes new communicators, keeping them on the sidelines while opportunities to practice pass them by. Addressing this hesitation, early podcast guest Andy Cotgreave offered a piece of advice that the storytelling with data team still returns to frequently: create, create, create.
The underlying philosophy is that active practice provides the only reliable mechanism for discovering what you do not yet know. Perfection is not expected—nor is it possible—at the beginning of a data storytelling journey. In fact, early professional work often prompts a sense of cringe when looked back upon months or years later. According to the team, that exact reaction is not a sign of failure, but rather definitive evidence of ongoing professional growth and improving standards.
Reflecting on the milestone of 100 episodes, the ongoing curation of these foundational discussions serves as a roadmap for anyone standing at the starting line of their data communication journey, offering a structured way to harness collective industry insights to build enduring professional skills.
