Learn to Think in Color

How Do You Know If You’re Getting Better at Asking Questions? The real sign isn’t that your questions sound smarter. It’s that they fit the moment and change what happens  How Do You Know If You’re Getting Better at Asking Questions? The real sign isn’t that your questions sound smarter. It’s that they fit the moment, serve the purpose, and change what happens next. Framing the question: Getting better at asking questions is not about sounding deeper, sharper, or more impressive. It is about learning to align a question with its purpose. The real test is whether your question fits the moment, reaches the right audience, and creates useful movement. Over time, the practice changes you too: you become more aware of what a question can clarify, interrupt, reveal, or transform. Stop Using the Wrong Scorecard A question can sound intelligent and still go nowhere. Polished, thoughtful, beautifully phrased — and yet leave everyone exactly where they started. That is performance, not progr...

What's Upstream from AI? Big-Picture Framing – Before the Algorithms We usually start thinking about AI at the moment of output: the answer on the screen, the suggestion in the product, the summary in your inbox. But the real leverage point sits  before AI  ever runs—upstream in the human choices, data, and incentives that quietly shape what these systems can and can’t do. Think of AI as the last mile of a long pipeline. Upstream are decisions about which problems deserve automation, what “good” looks like, whose data we use, and what risks we’re willing to accept. This piece gives you a simple mental model for that “before AI” layer, so you can influence outcomes long before you’re stuck arguing with a model’s answer. What does “upstream from AI” actually mean? Most AI debates start too late. A model behaves strangely, people argue about prompts, and someone suggests another safety filter. By then, the important decisions have already been made. “Upstream from AI” is everythi...

How Can You Tell How Biased a Question Is? Simple ways to spot when a question is steering you High-level framing Biased questions don’t just seek information — they quietly steer it. Learning to recognize biased questions helps you think more clearly about surveys, news, meetings, and 1:1 conversations. In this post, we’ll walk through a simple checklist for spotting biased questions, a way to rewrite them, and why sometimes  biased questions are actually intentional and useful . You’ll also see why  perfect neutrality is impossible  and why the real skill is choosing your frame on purpose, not pretending you don’t have one. Why Biased Questions Matter Think of a biased question like a tilted pool table. You can still aim carefully, but the ball will always drift in one direction. Biased questions often: Smuggle in assumptions Use judgmental language Only invite one type of answer Example: “Why is our marketing team so bad at execution?” You’re not really being asked to ...

How do the questions we ask quietly train the way we think? How your everyday “why” and “what if” sculpt your mental habits Big-picture framing The questions we ask don’t just  reflect  how we think—the questions we ask quietly train the way we think next time. Every “Why is this happening to me?” or “What can I learn from this?” is like a tiny rep in a mental gym, strengthening certain patterns of attention, emotion, and action. Over time, your default questions become the operating system of your mind. The hidden power of questions Instead of obsessing over having the right  answers , it’s often more useful to design better  questions . They direct what you notice, how you interpret events, and what options you see. By becoming more intentional about the questions you ask yourself and others, you can upgrade your thinking from reactive and defensive to curious, creative, and focused on what you can influence. 1. Questions as invisible training data for your mind Th...