Learn faster than failure
Why the real leadership challenge isn’t ‘failing fast,’ but designing systems that can learn.
How many leadership clichés can you list?
Let’s start with one: fail fast, fail often.
It’s repeated so often that is has the rhythm of wisdom, but it has always given me some discomfort to hear. It’s not quite wrong, but it quietly assumes a condition that most organisations, and leaders, have never actually built. So, let’s debunk it.
Startup clichés like this fail for a simple reason: they misunderstand the system they are operating inside. Most leadership advice operates at the wrong layer of the system. Fail fast is a behavioural instruction, and whether that behaviour produces value depends entirely on the psychological and cultural architecture underneath it.
That is the invisible system.
Consider the conditions required for learning to occur inside a complex organisation. The fail fast mantra only works when people’s sense of worth and belonging are not threatened by failure. If that condition is not present, failure cannot be metabolised as information. Instead, it becomes something to defend against. When this happens, people tend to do very predictable things.
They rush forward performatively, creating the illusion of speed without actually progressing. In doing so, they emotionally bypass themselves and the uncomfortable work of reflection and internal processing. People in this state cannot help but to collapse complexity into tactics and, when the pressure becomes too great, someone on the team eventually gets scapegoated.
We see this all the time amidst boards who wrestle with a ‘problematic executive’, or a senior manager dealing with a someone who ‘just didn’t perform’. But this is human nature. Even down to family systems and human connectivity patterns. In business, the executive who becomes the new convenient explanation for deeper systemic issues gives the organisation at large a preserved illusion of safety — that the problem was a person rather than the beloved system itself.
The result is movement without learning. And systems that cannot learn will not produce real value.
Guess what happens to systems that don’t produce value?
