Learn to Think in Color

How Do You Ensure Your Data Will Solve Your Business Problem? Aligning Information With Intention: From Raw Data to Real Decisions Before diving into solutions, take a beat. The biggest mistake teams make isn’t bad data—it’s disconnected data. Ensuring your data solves your business problem requires asking better questions, aligning stakeholders, and translating business objectives into data models that actually drive decisions. This post walks through how to frame the right problem, structure your data thinking, test its effectiveness, and—critically—know when data won’t help at all. Step 0: Know When Data Won’t Help Not every problem needs more data. Before launching a data project, ask: Does this require quantitative analysis or strategic judgment? Leadership alignment issues, brand positioning, and creative direction often need qualitative insight, not dashboards. If stakeholders won’t act on results due to politics or if the analysis costs more than the problem’s worth, stop here....

What Are the Best Practices for Managing Cross-functional Teams? Collaboration Without Chaos: How to Lead Teams Across Functions Framing the Question:  Cross-functional teams—where members from different departments come together—can be the secret sauce to innovation, but only if managed well. They bring diverse perspectives but also risk miscommunication, misalignment, and friction. So how do you turn potential chaos into high performance? In this post, we’ll unpack the best practices for managing cross-functional teams effectively. If you’re looking to improve cross-department collaboration or are leading such a team, these insights will give you an edge.  (Keyword: managing cross-functional teams) Why Cross-functional Teams Are Both Brilliant and Tricky Cross-functional teams are often built to tackle complex projects that no single department can solve alone. Think of launching a new product: you need marketing, engineering, sales, and customer support all working in sync....