Most digital transformation projects disappoint, and almost never for the reasons named in the post-mortem. Why it is a people problem wearing a technology costume, and what the successful ones do differently.
The smarter the team, the slower some decisions get. Why intelligence and slowness arrive together, how analysis becomes a hiding place, and what actually speeds decisions up.
Every productivity tool promises to save you time. The Jevons Paradox suggests the opposite happens. What it means for how we should actually use AI.
What you knew five years ago may no longer be reliable today. The problem is that the confidence often does not depreciate at the same rate as the knowledge.
Organisations with excellent project tools still deliver late. The dashboard shows green. The project is red. This is never a tooling problem.
Most meetings are not about making decisions. They are about deferring them. The demand for more analysis is often a way of deferring something uncomfortable without saying so.
The best way to have a good idea is to have lots of ideas and throw away the bad ones. Why volume thinking beats quality filtering.