It's not enough to educate. You need to train.

Curated by the Education/Concentric Team

What it means today to do training

Working on the growth and transformation of people requires, first of all, the ability to understand the context in which organizations operate. Every organization has its own structure, its own culture, and specific strategic priorities. For this reason, every path begins with a phase of listening and needs analysis.

Starting from this exchange, training paths are designed as integrated processes: moments of structured training are combined with opportunities for practical application, discussion, and review of the experience. Concrete cases, simulations, and work on real operating situations allow people to directly experiment with the tools learned and to reflect on the way these influence decisions, relationships, and results.

In this way, training becomes part of a broader growth path. Learning does not end in a single intervention, but develops over time through continuity, progression, and moments of verification. What initially requires attention and commitment gradually tends to become consolidated in the way of working.

The value of a training path is also measured in the behaviors that emerge in daily practice: in the decisions taken, in the quality of professional relationships, in the ability to use tools and models in a consistent way.

Working alongside organizations

Organizations now operate in increasingly dynamic contexts: technologies change, work models evolve, customers’ expectations are transformed, and the skills required of people change.

In this scenario, training represents an important lever for development, but it is not only a matter of transferring content. More and more often, the objective is to facilitate and support people’s growth, helping them transform knowledge and tools into concrete behaviors in everyday work.

A concrete example helps clarify this: a company decides to improve the quality of the commercial planning of its network. It organizes a structured course: segmentation models, prioritization criteria, monitoring tools. People understand the framework, participate actively, and practice in the classroom. The feedback is positive. After three months, however, many agendas have gone back to being reactive. Priorities are redefined based on the urgency of the moment. Planning may even be formally correct, but it does not really guide daily behavior. Or, at times, it is simply abandoned.

A professional may know the method of commercial planning perfectly, may have participated in a workshop on developing new clients, or may have learned objection-handling techniques. They may have understood the steps, memorized the phases, even passed a final test. However, when they are in the flow of their activity, in front of a client, a prospect, in an uncertain market context or facing a particularly challenging objective, they may fail to apply that “knowledge” with clarity and mastery.

However, when they are in the flow of their activity, in front of a client, a prospect, or a particularly challenging objective, they may fail to apply that “knowledge” with clarity and mastery.

Cognitive psychology describes this phenomenon well by speaking of an illusion of competence: the tendency to confuse familiarity with a concept with the real ability to apply it in a stable way. Knowing how to explain a model does not necessarily mean having transformed it into behavior.

Neuroscience helps us understand why this happens. Declarative learning — the kind that allows a person to describe a process or pass a test — mainly involves explicit memory. Operational mastery, on the other hand, requires consolidation in procedural memory, which is built through repetition, feedback, and error correction. Studies on brain plasticity, starting from Eric Kandel’s research, have shown how structured repetition strengthens synaptic connections. In the same way, Anders Ericsson’s studies on deliberate practice highlight that skills become stable through intentional, progressive exercise accompanied by feedback.

In other words, the brain consolidates above all through action over time. Training generates understanding; practice allows that understanding to be transformed into stable behavior.

For this reason, people increasingly speak of practice as well as training. The two dimensions are not alternatives, but complementary: training builds shared foundations and languages, while practice makes it possible to consolidate over time what has been learned. It is in this correct repetition over time that behavior becomes stable.

When a professional reviews, for example, ineffective planning, understands its impact on results, and receives structured feedback, learning does not remain cognitive. It becomes experience. And experience leaves a trace.

Experience and methodological innovation

Over time, the experience gained by working with different organizations has helped methods and ways of working evolve.

Alongside the solidity of consolidated practices, over the years tools and approaches have been developed that foster more applicable learning: moments of discussion, exercises on real situations, training paths that support people in consolidating their skills.

Attention remains focused above all on this transition: helping knowledge and tools become professional practice.

This perspective invites us to consider the growth of organizations as a continuous process, made up of learning, discussion, and evolution over time.

In this path, training and practice play complementary roles: the former offers tools, models, and shared languages; the latter makes it possible to test them, strengthen them, and progressively transform them into more aware and stable ways of working.

It is precisely in the meeting between these two elements that learning becomes real development for people and for organizations.