What you'll learn

Most leaders who develop strong data instincts stop there — and wonder why their teams keep presenting incomplete analyses, burying inconvenient findings, and treating every dashboard as a verdict. The problem isn't the team's capability. It's that good analytical thinking has to be modeled before it can be adopted. In this course, Data-Driven Leadership: Building a Data-Informed Team, you'll gain the ability to cultivate evidence-seeking behavior in the people you lead — not through training programs or process mandates, but through the way you show up in every review, every one-on-one, and every data presentation. First, you'll explore how to make your own scrutiny visible, narrating your questions out loud and naming gaps in real time so your team can see exactly what rigorous thinking looks like in practice. Next, you'll discover how to ask the questions that pull better thinking out of others, build psychological safety around inconvenient findings, and calibrate your evidence expectations to the stakes of the decision and the development stage of the person presenting. Finally, you'll learn how to coach your team to use AI as a thinking partner rather than an answer machine — modeling how to interrogate AI outputs with the same scrutiny applied to any other data source. When you're finished with this course, you'll have the skills and knowledge of data-informed leadership needed to build a team that surfaces the right questions, challenges its own conclusions, and brings you findings worth acting on.