The Growth Ladder
Have you ever stalled on a learning plateau? The growth ladder shows how to overcome it and move forward again through deliberate practice.
Every learning process can hit a point where it slows down. Performance becomes reliable, mistakes decrease, action becomes effective. And yet, despite the effort, the level reached tends to hold steady instead of climbing further.
It's one of the moments easiest to misread: you're still practicing, but what got you this far might not be what takes you further.
What Is the Growth Ladder
The growth ladder describes learning not as a continuous curve proportional to the effort invested, but as a path where periods of progress can alternate with phases of stabilization. This phenomenon is commonly called a learning plateau or competence plateau: the level reached settles in, while improvements become less noticeable.
Picturing learning as continuous growth can therefore be misleading: it implicitly suggests that every additional unit of practice should produce a proportional improvement. In reality, continuing to do what we already know how to do can increase reliability and automaticity without necessarily producing a jump in level.
And this is where the ladder gets interesting: at a certain point, doing more isn't enough on its own. You have to discover what, in your own way of acting, is no longer being questioned.
Why it matters
Understanding the plateau helps avoid two opposite mistakes: getting discouraged by reading the absence of visible progress as personal failure, or continuing to practice in exactly the same way, expecting quantity alone to eventually produce a different result.
When a way of acting becomes effective, it naturally tends to be repeated. And that's exactly the paradox: what produced competence can also become what locks it in place.
Not because that strategy is wrong. It worked well enough to get you to that level. But it might not be enough for the next one.
How the Growth Ladder Works
During a stabilization phase, a person uses rules, procedures and criteria that produce reliable results. As competence and the complexity of situations increase, though, some of those same rules can stop being enough.
Continuing to apply them just means becoming more and more efficient within the same way of functioning.
The next step can require a reconfiguration: not simply adding another technique, but changing what you pay attention to, the criteria you use to decide, and the moment you intervene. External actions can even look similar, while the process that generates them changes.
Between a settled level and a new one, a less stable phase can also appear: what used to work automatically gets called into question, while the new way of operating isn't fully integrated yet. This is why a more advanced stage of learning can, temporarily, feel less fluid than the previous one.
Repetition still matters: it consolidates what's been learned. But when the goal isn't maintaining a competence but developing it further, it can be necessary to change the quality of practice.
This is where deliberate practice becomes relevant, a concept tied to the work of Anders Ericsson: instead of simply repeating the entire performance you've already mastered, attention is deliberately directed at the aspects that still need improvement, through targeted tasks and specific feedback.
Feedback also changes function. At first, it can be enough to know whether something worked or not. As competence grows, it becomes more important to understand where the performance loses quality, under what conditions it happens, and which component deserves to be isolated and trained.
One addition in the growth ladder model is the absence of permanence: a level of competence doesn't stay fixed, it's a dynamic balance that holds only if it keeps being applied. Without application, the system tends to regress toward earlier levels, not through a definitive loss, but through a loss of access, due to the structures sustaining that level not being activated.
The growth ladder therefore points to an essential distinction: repeating a competence and developing it aren't necessarily the same thing.
Common mistakes
A common mistake is tackling the plateau by simply increasing the time or effort invested in the same mode of practice. This can consolidate the level reached without necessarily transforming it.
A second mistake is always looking for another technique when the limit might actually be in how situations are read and decisions are made. At different levels of competence, what can change isn't just what you do, but also what you're able to recognize as relevant.
A third mistake is interpreting a temporary loss of fluency as proof of regression. When a consolidated automaticity gets put back under observation, execution can feel less natural for a while.
Practical example
A person is used to public speaking and does it well: clear delivery, follows an outline, gets positive feedback. Continuing to give full presentations, start to finish, maintains and consolidates that competence.
Then a precise limit shows up: faced with a sudden objection, they lose their clarity.
At that point, giving ten more full presentations might not touch the exact point limiting the performance. More targeted work means isolating that situation: facing tough questions, observing what happens when the prepared sequence gets interrupted, getting specific feedback and experimenting with different responses.
Here the plateau stops being simply “I'm not improving.”
Think of a competence you already have down well. You could keep practicing it for months and become more fluent. But where exactly is the point where you keep compensating, avoiding, or falling back on the same strategy?
Finding it doesn't mean you've already found how to get past it.
It means you've stopped confusing the amount of practice with the quality of growth.
Applications
The growth ladder model applies to professional development paths, project management and leadership, training coaches and trainers, sport, and more generally to any competence that requires sustained improvement over time.
It's particularly useful when a person has already reached a good level and, precisely because of that, risks continuing to mainly practice what they already do well.
Frequently asked questions
What is the competence plateau?
It's a phase where, after a period of progress, performance tends to stabilize and improvements become less noticeable even though practice continues.
How do you get past a learning plateau?
There's no single solution. It can help to change the quality of practice, identify specific components to improve, and use more precise feedback, instead of simply repeating what's already consolidated.
Why isn't repetition alone always enough to grow?
Because repeating what already works can consolidate and automate a competence without addressing the aspects that limit its further development.
What does “reconfiguration” mean in the growth ladder model?
It refers to a change in how competence is organized: what you pay attention to, the criteria used to decide, and how the situation is read can all change, not just the techniques available.
What should you do when you feel stuck at a level despite the effort?
Before simply increasing effort, it can help to identify more precisely where the performance stops improving, and check whether your habitual practice is actually training that exact point, or only what's already consolidated.
Related concepts
The Four Stages of Learning, Concentration Techniques, The Effective Study Method, What Is an Internal State, Coaching, Atomic Habits: Small Steps, Big Results.
Go deeper
The growth ladder model is presented in Volume I of “The Invisible Blade”, where Giovanni Ceroni develops it in dialogue with Dreyfus's skill acquisition model and Anders Ericsson's concept of deliberate practice.
Related articles
Further reading to go deeper
If this topic interests you, these readings can help you go beyond the summary offered on this page.
NLP and modeling
Richard Bandler, John Grinder
Richard Bandler, John Grinder
Robert Dilts
Communication, relationship and influence
Paul Watzlawick and the Palo Alto School
Marshall B. Rosenberg
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- Tang, Y.-Y., Hölzel, B. K., & Posner, M. I. (2015). The Neuroscience of Mindfulness Meditation. Nature Reviews Neuroscience, 16(4), 213–225.

