Deadly Leadership Temptations: #2 Popularity Over Accountability

If you pulled water from a well and couldn't tell whether it was clean, you wouldn't just drink it. That's the problem with using AI to learn leadership. AI amplifies whatever it was trained on, and much of what's written about leadership is superficial, repeated because it's popular, or simply wrong. This episode covers why that happens and where AI actually fits in your leadership learning.

How you define success determines what you measure, and what you measure determines what you do. This episode examines four common but faulty definitions of leadership success (promotions, short-term results, making money, and good relationships), what each one costs when it becomes your measure, and offers a better definition to work from.

"Leadership is about building relationships." "Leadership is about asking the right questions." These statements sound good, and the things they name are often genuinely worth doing. But calling any one function the point of leadership narrows your focus to a piece of the job and quietly makes you less effective at the whole of it. This episode explains why, and what leadership is actually about.

It's tempting to jump straight to solutions, but guessing at fixes without understanding the real problem wastes time, money, and trust. This episode covers practical principles for solving problems well: defining the real issue, avoiding assumptions, finding the root cause, and knowing when, and when not, to lean on experts.

Good decisions and good outcomes aren't the same thing, a solid process can still turn out badly, and a lucky guess can still turn out well. This episode walks through seven practical steps for making better decisions and helping your team do the same, from clearly defining the problem to building in a plan to revisit the decision later.