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From Individual Growth to Leadership and Team Development

From Individual Growth to Leadership and Team Development

by Florian Biedermann | Nov 12, 2026 | Impuls series, Leadership and AI, Learning Transfer | 0 comments

From Individual Growth to Leadership and Team Development

In the first part of our blog series, inspired by coach and NLP trainer Ivan Petric’s essay Model of Models, we explored how three well-known development models reveal a shared pattern of growth. From initial enthusiasm to frustration and, eventually, competence, we discovered why challenges aren’t necessarily obstacles to development, but often an essential part of it.

But development doesn’t happen in isolation. People grow within teams, organizations, and systems that influence how they learn, collaborate, and perform. And sometimes, even well-intentioned support can stand in the way of real progress.

Let’s explore why effective leadership isn’t just about solving today’s problems, but about developing people who can solve tomorrow’s challenges independently.

When the whole system develops

Development doesn’t happen inside one person. When a child starts school, it is officially the child who goes to school. In reality, the whole family has to reorganize getting up earlier, homework, who drops off and who picks up. After a while, routines settle, and life feels normal again. Until something changes: another child, a new job, a move.

This adds something important to the four-stage story. The fourth stage is not a lifelong graduation. It means that a person or system works well under certain conditions. Change enough of those conditions, and you can be back at the start very quickly. A leader who ran a top team for ten years can take over a different organization and find that old methods no longer work. The skill has not disappeared. The context has changed.

This is where Messi comes in. You can have eleven excellent players and still not have a good team. The team photo at the start of the season looks great. Everyone smiles. Forming is a very photogenic phase. Storming is less so. Then it becomes clear who actually plays, who sits on the bench, whose idea wins, and who takes the penalty. Sometimes, the arrival of a better player weakens a team for a while, not because the player is a problem, but because the whole system has to adjust.

Looking only at individuals, we ask who is better or more motivated. Looking at the team, we ask different questions: How are roles distributed? How does information flow? What happens after a mistake? Where is trust? Petric describes teams where almost nobody was a “problem case,” and there were still problems. Marketing blamed sales, sales blamed production, production blamed management. Each person’s story made sense. The problem lived between them.

So instead of only asking “Who is doing it wrong?”, he asks: “Which part of this relationship structure produces this behavior?” Maybe an employee does not need more training, because the issue is unclear roles. Maybe a team does not need team building, because the issue is a reward system that pits departments against each other.

And one more point: nobody stands outside the process. A father learns to be a father. A leader learns to lead. A new leader can be D1 in their own role while leading someone who is D3 in theirs.

football

The parent and the leader in one person

Ask leaders and HR people about the new generation of employees, and you hear similar things: “They ask why.” “If they don’t like it, they leave.” “They want feedback but don’t accept authority the way we did.” Petric suggests a better question than “What is wrong with this generation?” In what system did these people grow up, and what did they learn from it?

Each generation of parents tends to fix what it missed. Those who grew up with little worked so their children would have more. Those whose parents had no time tried to be more present. This is understandable. But as Peter Senge writes in The Fifth Discipline: “Today’s problems come from yesterday’s solutions.”

If I remove every obstacle for my child, I may also remove the chance to learn how to overcome obstacles.

Petric tells the familiar story of a man who watched a butterfly struggling to leave its cocoon. He took scissors and widened the opening. The wings never unfolded, and the butterfly never flew.

Then comes the closed loop. At home, parents tell their children: “Don’t let them take advantage of you.” “If they don’t value you, find another job.” “Don’t stay silent for twenty years as I did.” The next morning, the same parent drives to work and becomes a leader. Across the desk sits someone else’s child, who heard almost the same thing. That evening the parent-leader comes home and says: “I just don’t understand this new generation.”

Middle managers are squeezed between targets from above and new expectations from below. “It has to be done” used to end a conversation. Today it often starts one. A leader may experience this as a loss of authority. Or perhaps their own leadership repertoire has simply entered a new developmental phase. The model applies to the D2 leader as much as to the D2 employee.

Good leaders, like Marko’s teacher, do not remove the demands. They make them meaningful and help the person grow through them. Formal authority can produce obedience, but not necessarily competence, responsibility, or independence. If I want someone to reach D4, I cannot keep treating them like someone who only follows instructions.

Short-term efficiency and long-term development are not always the same thing.

“Just give me a summary”

Today it’s not only parents and leaders who can solve problems for us. AI can write a text, build a presentation, summarize a book, or write code in seconds. Petric hears one sentence again and again in training: “Just give me a summary.”

He is not against summaries. He uses them himself. When you already know a field, a summary saves time. The problem starts when a summary stops serving understanding and replaces the process of understanding.

If an app plays Marko a perfect guitar piece, we have music. If his goal is music, problem solved. If his goal is to become a guitarist, the app solved a different problem. The result is there, but the skill may be missing. The same applies to a junior employee who receives a brilliant AI-generated analysis but does not yet have the experience to judge what is good, what is wrong, and what to do when the situation no longer fits the pattern.

The interesting question is not “Can AI do this?” Very often it can. The question is: “What should a person be able to do after the AI has done it?”

What we actually do when we help someone develop

Two people can have the same problem on the surface and need completely different help. One needs knowledge, another practice. One needs support to get through uncertainty; another needs someone to stop rescuing them. A third may already have the skill but cannot access it in the current context.

Petric gives an example from coaching. A client says, “I have no patience.” Yet, at work, he can calmly listen to an angry customer for half an hour. At home, his partner says two sentences the wrong way, and after thirty seconds he stops listening. The ability clearly exists. The problem is transferring it to another context. That calls for a different intervention than building a skill from scratch. If Marko has never held a guitar, telling him to feel like Eric Clapton will not help. His fingers still have to learn. But if he plays well at home and freezes on stage, we are no longer working on chords.

Potential is free. Development is not.

The four-stage model then becomes a practical guide. Beginners usually need clarity and structure. Frustrated learners need clear feedback, support, and enough small wins to keep going. As competence grows, too much control gets in the way. And treating a truly competent person as if they need permission for every step is one of the worst leadership styles there is.

The problem is not any single style. It is using the same style regardless of where the person stands. The same is true for coaching: asking “What do you think you should do?” helps an experienced person reflect, but with a beginner it can be an elegant way of withholding information they really need.

Petric points to Croatian coach Ante Kostelić, who trained his children Janica and Ivica under far from ideal conditions. Years earlier, as a handball coach, he said: “My dream was to build, through training, a team that can play without me.” It is hard to find a better measure of development: Have I made people more dependent on me, or more independent?

What we actually do when we help someone develop

The questions that remain

Petric reduces the practical side of his “model of models” to a few questions that should always run in the background:

  • Where does this person stand in relation to this specific task?
  • What can they already do, and what not yet?
  • Is the issue a missing skill or a lack of access to an existing resource?
  • How much structure, support, challenge, and autonomy do they need right now?
  • And most importantly: what will they be able to do on their own after this intervention that they could not do before?

That last question protects coaches, trainers, leaders, and parents from a tempting mistake: the need to prove their own competence. A coach who solves the client’s problem may look like a genius. But in development, the result is not only what we solved today. It is also what we will not need to solve for that person tomorrow.

Not every moment is a development moment. If a plane has to land, you do not hand it to a trainee pilot for the sake of their growth. But if we always take the fastest route to today’s result, we may one day find we have built a system in which nobody has developed the ability to deliver tomorrow’s.

A model is a map

Petric is careful not to claim that the three models are “really the same”. Tuckman does not talk about skill development, and Situational Leadership is not a parenting manual. On one level, they differ. On another level, they describe the same structure.

A good model works like a map. It helps you see something in reality you would otherwise miss. But if you fall in love with the map more than the territory, you start pushing people into four neat boxes. Nobody is obliged to develop according to our slides. Teams get stuck, go backwards, speed up. And sometimes putting the guitar down after two months really is the best decision.

A model does not tell the truth about a person. It is a way to ask a better question about them.

Sometimes the model even tells us not to intervene. Once we have a tool, everything looks like a job for it. Coaches want to coach, leaders want to lead, parents want to help. Sometimes the best intervention is to let the person try again, let the team solve a conflict it can solve, or not answer a question the person can answer themselves.

Development needs support, but it also needs space. Marko did not need a guitar that played itself. He needed a teacher who made the task just manageable enough to progress, and just hard enough to grow.

The Real Goal of Development: Building Independence

Across both parts of this series, one central idea stands out: Development is not about making challenges disappear. It is about helping people become capable of overcoming them.

Whether we are teaching a child, coaching an employee, leading a team, or introducing AI into the workplace, the question remains the same: Are we creating opportunities for people to learn, or are we simply making things easier for them?

Perhaps the most important takeaway is this: The success of leadership and coaching should not only be measured by the problems we solve, but by the capabilities we help others develop. Because ultimately, great leadership is not about becoming indispensable. It is about empowering others to succeed without us.

Based on “Model modela: Tri modela. Jedan proces.“ by Ivan Petric (September 2026). Models referenced: the Four Stages of Competence, Situational Leadership (Hersey and Blanchard), Tuckman’s stages of group development, and Peter Senge’s “The Fifth Discipline”.

 

Florian Biedermann

Florian Biedermann

Learning & Development Consultant at MDI

Florian Biedermann is a Learning & Development Consultant at MDI (Management Development Institute) – a global consulting company that offers solutions for leadership development. His focus is on making complex issues understandable and inspiring people to think – and act. Florian previously worked for many years as an author and manager in the e-learning sector, after spending over a decade as a freelance journalist.

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The 4 Stages of Development: What Leaders Need to Know

The 4 Stages of Development: What Leaders Need to Know

by Florian Biedermann | Nov 5, 2026 | Leadership Impact, Leadership Tips | 0 comments

The 4 Stages of Development: What Leaders Need to Know

A blog post inspired by Ivan Petric’s essay “Model of Models: Three Models. One Process. (Model modela: Tri modela. Jedan proces.)“

Whether we are learning a new skill, stepping into a leadership role, or building a high-performing team, development rarely follows a straight line. Initial enthusiasm often gives way to frustration, uncertainty, and challenges before real progress becomes visible.

But what if these experiences are not setbacks, but natural stages of the same development process?

In this first part of our two-part blog series, we explore how three well-known development models reveal a shared pattern of growth, and what leaders, coaches, and trainers can learn from it. Drawing on insights from coach and NLP trainer Ivan Petric, we take a closer look at why frustration is often a necessary part of learning and how the right support can make all the difference.

Model of Models

What do a young boy from Makarska, Lionel Messi, and a first-time manager have in common? Yes, it’s the letter M – but actually we did not mean that. According to coach and NLP trainer Ivan Petric, they all go through the same journey. It just looks different each time.

In his essay “Model of Models“, Petric takes three frameworks that most of us in learning and development keep in separate drawers and puts them side by side. What he finds is useful for anyone who coaches, leads, trains, or raises people.

Three drawers, one pattern

For years Petric kept three models apart. One came from NLP training, one from leadership work, and one from team development. Each had its own literature, its own experts, and of course, its own PowerPoint slides.

  • The Four Stages of Competence describe how an individual learns a skill. We move from unconscious incompetence to conscious incompetence, then to conscious competence and finally to unconscious competence.
  • Situational Leadership describes how a leader should support someone who is developing in a specific task. The development levels run from D1, the enthusiastic beginner, through D2, the disillusioned learner, and D3, the capable but cautious contributor, to D4, the self-reliant achiever.
  • Tuckman’s model of team development describes how a group learns to work together: Forming, Storming, Norming, and Performing.

The authors, disciplines, and content are different. But when Petric stopped paying attention to the labels, the same structure showed through:

Competence

Situational Leadership

Team Development

Emotional dynamic

Unconscious Incompetence

D1

Forming

Excitement, anticipation, novelty

Conscious Incompetence

D2

Storming

Reality check, frustration, uncertainty

Conscious Competence

D3

Norming

Practice, growing skill and confidence

Unconscious Competence

D4

Performing

Stability, autonomy, ease

Petric finds the last column the most interesting, and so do I. It reflects what he actually observes when working with people. What changes is not only what a person can do. It is also how they experience themselves and the process they are in.

Strip away the labels and what is left? A new beginning. A collision with reality and its complexity. Gradual adjustment and the building of new skills. And finally, more stable, independent and effective performance. These are not three models that happen to match. They are three perspectives on the same developmental process, at three different levels: the individual, the individual within an organisation, and the group.

Three drawers, one pattern

Why this matters: knowledge becomes transferable

Petric credits NLP not so much as one more model but as a way of looking at things. Its central idea is modelling: when someone succeeds at something, you look past the content of their story and ask how the process behind the result is structured.

What happens first? What next? What changes when feedback comes in? And could the same structure appear somewhere else under a completely different name?

He puts it simply: a beginner sees a technique, a more experienced person starts to see a pattern, and once you understand the process, you are no longer limited to a single technique. Seeing the shared pattern does not mean ignoring the differences. But it does something valuable. You can see what you understand about leadership in a child learning something new. What you observe in a sports team, you can recognize in a project team.

This search for patterns across levels later became the foundation of what Petric calls Fractal Coaching: moving from the whole to the structure to the detail and back to the whole, while checking what repeats and at which level an intervention makes sense.

The critical phase is not the beginning

Back to Marko. He is twelve or thirteen, his room is covered in posters, his hair is getting longer, and he sees himself on stage playing riffs while the front row screams. The rest is technical detail. His parents, who still have a kimono in the wardrobe from the time he was going to be the next Bruce Lee, are more cautious. Eventually his father gives in and buys a guitar.

Then the real problem starts.

In the first lesson, the teacher’s fingers land exactly where they should. Marko’s fingers hit the wrong string, miss the fret, and produce sounds that have nothing to do with the records. By the time he has moved from one chord to the next, the song would already be over. On day three, the guitar is lying next to his bed. By day five, he is wondering whether drums might suit him better. The strings are too stiff anyway, and an electric guitar would surely be easier.

Marko analyses the problem in great detail. The only thing his analysis misses is that all of this is completely normal.

This is why Petric considers the second stage, conscious incompetence, D2 or Storming, perhaps the most decisive in the whole process. Not because it is the most important in theory, but because this is where we so often decide whether to continue or quit. In this phase, we do not only learn chords, a new business process, or a coaching technique. We also learn how we react when results do not come, when feedback is negative, and when our original self-image no longer holds.

Can I tell a mistake apart from personal failure? Can I try again? Can I ask for help without feeling incompetent?

The same thing happens at work. Someone starts a new job full of energy. A few months later, the job no longer looks like the interview: deadlines, difficult relationships, decisions without enough information, tasks that were not in the job description. If the manager only sees falling motivation, the conclusion is “wrong person“. If the employee only sees their own frustration, the conclusion is “wrong company“. Sometimes both are right. But sometimes they are looking at a perfectly normal developmental step and mistaking it for a final diagnosis.

guitar lesson

Constructive frustration versus overload

Marko’s father had two easy options. He could fix the problem right away: the guitar is not working, so buy drums, then a piano, then maybe a moped. Or he could go to the other extreme: “You wanted this, now deal with it.” Neither is smart development management.

Instead, he held to their agreement: stick with it until the end of the term, then decide. And the teacher did something important. He did not call Marko lazy or give him a lecture on discipline. He took two chords and slowed everything down until Marko managed, for the first time, to switch between them without chaos. Once it sounded clean. Once it didn’t. But Marko had heard that he could do it.

A person in the second phase rarely needs us to solve the whole problem. They need enough support to see that there is a way through, enough structure to take the next step, and enough responsibility to take that step themselves.

That is why Petric rejects the idea that a good teacher, parent, coach, or manager is someone who removes discomfort. Development is hardly possible without meeting the limits of what we can do. The real question is what kind of environment we build around that point. If a task is so hard there is no chance of success, frustration leads to giving up. If it is so easy there is no challenge, nothing new develops. In between lies the zone where we try, fail, correct, and see little progress.

Safety is not sterility. Safety means I can make mistakes without being exposed, receive feedback without being attacked, and try again.

We cannot skip developmental stages. But we can help people go through them better: with clearer expectations, better feedback, and fewer unnecessary mistakes, without the illusion that we can teleport someone from beginner to expert.

Development Is a Process, Not a Shortcut

Whether someone is learning to play the guitar, taking on a new leadership role, or finding their place in a team, the underlying lesson remains the same: growth takes time, practice, and the willingness to work through uncertainty.

For leaders, this means recognizing that frustration is not always a sign that something is going wrong. Sometimes, it is a sign that development is happening. The challenge is knowing when to provide guidance, when to create space for learning, and when to let people find their own way forward.

But what happens when we apply these development patterns beyond the individual?

In Part 2 of this blog series, we will continue exploring Ivan Petric’s insights and what they mean for leadership, coaching, and team development.

Florian Biedermann

Florian Biedermann

Learning & Development Consultant at MDI

Florian Biedermann is a Learning & Development Consultant at MDI (Management Development Institute) – a global consulting company that offers solutions for leadership development. His focus is on making complex issues understandable and inspiring people to think – and act. Florian previously worked for many years as an author and manager in the e-learning sector, after spending over a decade as a freelance journalist.

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by Balázs Lóránd | Oct 28, 2026 | Leadership and AI, Leadership Horizon | 0 comments

Leading Through AI Transformation: 5 Leadership Challenges and How to Address Them

As we prepare for our annual Leadership Horizon Conference, we’re taking a look back at some of the highlights of our successful 2026 edition. In his insightful business case “As AI Scales, Leadership Evolves” our guest speaker Dr. Balázs Lóránd explored how artificial intelligence is reshaping organizations and what this means for leadership. His presentation sparked important questions, some of which remained unanswered.

In this exclusive Q&A, he revisits five key challenges, sharing his perspectives on AI-driven decision-making, the future of work, organizational agility, change management, and team spirit. Discover why, even as AI transforms the way we work, leadership remains fundamentally human.

1. AI and Decision-Making: Are We Missing New Opportunities?

AI makes decisions based on past data. Do you see a danger in that? Could this mean missing entirely new opportunities?

It depends on how we define AI, and on which of the available technologies we actually use. Great new ideas and unconventional solutions still mostly come from humans. But genuinely new strategies and different solutions can emerge from AI as well.

In the automotive domain, there are three technologies to consider:

  1. Neural network-based computer vision (CV) – the technology behind self-driving
  2. Large language models (LLMs)
  3. A combination of the two

Traditional deep learning-based computer vision relies on supervised training. When new traffic participants appear (for example, a new type of vehicle on the road), we have to add new data to the model’s training set. Here, the possibilities are limited by the quality and diversity of the available data. Most neural networks can only produce results they were trained for, or at best certain new combinations of them.

With LLMs, the picture is different. Their decisions and proposals are not deterministic: there is a degree of randomness built into how they generate answers. Thanks to this, LLMs can come up with new combinations of existing knowledge – which is often exactly where fresh ideas begin, besides the human creativity.

And in self-driving, where it is possible to use neural network-based CV and LLMs together – in so-called Vision Language Models and Vision Language Action models – truly new opportunities can open up.

So the right combination of technologies, guided by human judgment, does not close the door to new opportunities. It can open it.

1. AI and Decision-Making: Are We Missing New Opportunities?

2. AI and the Future of Work: How Can Leaders Prepare Their People?

AI will replace certain jobs. How should organizations and leaders deal with that?

Many software development steps and processes can already be handed over to AI. Humans provide the initial prompt or specification, and at the end, someone must verify what the AI has produced. We call this AI output verification.

Rapid advances in AI are reshaping the entire software development industry, along with many jobs and responsibilities. Developers now need to think on a more abstract level to prompt the AI well, but humans are still needed: humans who can check code quality, repair it and verify it. Not everyone is ready for this shift, and as a result, a certain selection process among developers is already underway.

At the same time, new jobs are emerging and leaders have a crucial role in preparing people for this transition and enabling reskilling on a large scale. Humans must remain responsible and accountable, at the very least for AI safety, AI security and compliance. New roles are also appearing around the cost side of AI: how to optimize token consumption and choose the right model for a given task or project.

Take software architects, for example as a high-value role in any organization. Architects who can see and handle complexity are more in demand than ever, because AI-generated code must be checked and verified, at least in safety-critical systems like the ones operating in self-driving cars.

All in all, where the agentification of certain tasks and processes is possible, we as humans become more efficient, and fewer people are needed to deliver the same output. But since many players in the market are working on similar transformations, this kind of efficiency alone does not create a competitive advantage. What does create a competitive advantage is how well we prepare our people for the new world of work.

3. Leadership in Uncertainty: How Can We Set Goals When the Future Is Unpredictable?

In times of AI, things are changing so quickly that we can hardly define a stable target picture. How do you cope with this complexity and uncertainty?

It is getting increasingly difficult to set numerical targets for a company. It is only possible for the short term, for a given iteration, and with the necessary level of agility. But even without predicting the future, a vision and a mission can still be defined, together with the position we want to hold in the market (not the exact figure).

Let me give an example: When we were building our own in-house GPU cluster in Frankfurt to train our neural networks, we fixed the final result in advance: at least its compute and storage capacity, its performance and the timeframe of build up.

How we would get there was not predictable beforehand: what to do in each timebox, which new technologies would emerge, which ones to test and for how long. The WHAT was fixed, the HOW stayed flexible. That is how we were able to combine stability with agility.

Corporate values can provide another source of stability in the organization – and these should stay firmly in human hands. In my previous role, the values I worked with were openness, transparency, diversity and unity, flexibility and structure.

When the target picture keeps moving, values are what provide us stability.

Leadership in Uncertainty: How Can We Set Goals When the Future Is Unpredictable?

4. Organizational Change: Who Drives Transformation in the AI Era?

Who changes an organization, and in which direction? This seems to be a major challenge in times of organizational uncertainty.

Many actors can change an organization. Internally, it is the individuals, above all the leaders and the experts. Externally, competitors, the market and customers shape organizations too. And then there is disruption, which is happening everywhere right now based on the rapid advances in AI.

The leadership of an organization is a key factor that sets a company apart from its competitors. Leaders provide the right vision and mission and should use them to drive change actively. Defining the direction of change is their responsibility.

In today’s transformations (as digital transformation and AI adoption) we often see that new programs and organizational changes are also initiated by colleagues. In other words, change can be driven bottom-up, not only top-down. And it has to be: AI adoption cannot be achieved through top-down initiatives alone.

The speed of change is crucial as well. A large multinational with a long history carries a strong organizational memory. Startups, without that memory, can change direction quickly and come up with new solutions. The best approach is to find a way to combine these two models.

As for the direction of change: what matters most today are not new ideas at all: strengthening agility and building a learning organization. As AI develops rapidly, we need people who learn new skills every day (AI output validation, for example), and teams that can easily adapt and reorganize themselves on a regular basis.

5. Team Spirit and Leadership: How Do We Build Trust During Change?

Do you believe your team’s spirit is a result of leadership and development opportunities?

Yes, and it does not happen by accident. Leaders should deliberately focus on building team spirit and maintaining it.

Several factors contribute:

  • Leadership development programs are indispensable. Besides mentoring and coaching, team coaching can be especially valuable.
  • Share lessons learned and stop inappropriate practices in the organization as soon as they are identified.
  • Make best practices visible to everyone.

All of these are leadership responsibilities. Feedback should be heard and truly listened to on a regular basis. Together, these practices have a real impact on maintaining team spirit and building trust across the organization.

One more factor helps strengthen team spirit in times of uncertainty: the stability of the team, reflected in a low turnover rate. When team members stay together, they can survive several changes and reorganizations, a point I also made in my presentation at the MDI Leadership Horizon Conference in Vienna in 2026.

AI is transforming how we work, make decisions, and organize our teams. Yet one thing remains clear: leadership is still fundamentally human.

Which of these five leadership challenges is the most pressing in your organization right now, and what will you do about it this quarter?

Did we get you hooked for more? Get your Early Bird Leadership Horizon Tickets for 2027 here!

Dr. Balázs Lóránd

Dr. Balázs Lóránd

Artificial Intelligence & Leadership

Balázs Lóránd, Ph.D, was Managing Director and Head of Artificial Intelligence at AUMOVIO Autonomous Mobility, where he built one of the automotive industry’s largest AI development centers, with more than 300 professionals. Combining executive leadership with a decade of university teaching and research, he focuses on the organizational and human dimensions of AI adoption and digital transformation. His approach: Fix the what, free the how.

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by Florian Biedermann | Oct 22, 2026 | Leadership Tips, Learning Transfer, Training Insights | 0 comments

Beyond the Training Room – Turning Insights into Impact

Traditionally, a training session ends with a recap and a round of feedback. In these face-to-face conversations, participants’ responses are often overwhelmingly positive. Usually, those who enjoyed the training are the most likely to speak up, while few participants feel comfortable telling the facilitator directly that they did not find it particularly valuable.

Depending on the questions asked, we hear that participants would recommend the training, that their expectations were met, and that the trainer was well prepared and explained the content clearly.

To capture these otherwise fleeting, subjective impressions, we at MDI have used our “1-Minute Feedback” for many years: a short questionnaire consisting of four questions, rated on a scale from 0 to 6, with 6 being the highest possible score. An open-text field also allows participants to share additional comments about the training.

Four questions – different perspectives

Our feedback questions explore different aspects of the learning experience:

  • Would I recommend the training or coaching?
  • Were my expectations met?
  • Was the trainer well prepared, and did they deliver the content effectively?
  • Am I confident that I can apply what I have learned?

A closer analysis of the responses reveals that, on average, the final statement — “I am confident that I can apply what I have learned” — consistently scores slightly lower than the others. In other words, confidence in applying the learning at work receives the lowest rating.

This does not make the positive feedback any less valuable. But it raises a crucial question: What is missing between “That was a good training session” and “I feel confident putting this into practice at work”?

Or, to use a sports analogy: Why are participants unable to reproduce their training performance when it matters — in the workplace?

The final question looks ahead. It shifts the focus from the training experience itself to what comes next: the next difficult feedback conversation, a conflict within the team, or a decision made under time pressure. In that sense, it is less an evaluation of the training and more an assessment of readiness for what follows.

One distinction is important: a lower score does not, in itself, demonstrate a lack of learning or a failure to transfer that learning into practice. It initially reflects participants’ subjective confidence in their ability to apply what they have learned. Whether they actually use it needs to be assessed separately.

Nevertheless, we should take this signal seriously. Believing we can successfully use a new skill is one relevant factor in transferring learning to the workplace.

feedback

What might explain the lower score?

A single number cannot tell us the reason. Instead, it should serve as a starting point for further questions.

“I understand it — but I haven’t practiced it enough yet.”

Understanding a conversation model, for example, is not the same as being able to use it in an emotionally charged situation.

Participants may not know how to apply it. What they may need is another opportunity to try it themselves, receive feedback, and try again. Realistic practice, a constructive approach to mistakes, and subsequent opportunities to apply the learning can all support transfer.

At MDI, we have developed a range of AI-powered role-play scenarios for precisely these situations. They allow participants to practice and refine what they have learned in realistic situations, both during the training and, importantly, afterwards. The AI provides feedback, with a choice of different feedback models.

“It works in training. But will it work in my situation?”

The example used in the training may have been clear to everyone. Yet participants’ own situations often turn out to be more complex than the practice scenario: an experienced team member responds dismissively, an unresolved conflict is affecting the team, or only ten minutes are available for an important conversation.

This raises the question of how closely the practice scenarios reflect participants’ actual challenges. It is therefore important not to oversimplify exercises, but to build them around realistic, specific situations from participants’ working lives.

“I don’t yet know whether my work environment will support it.”

Applying learning is not simply a matter of individual competence. It also requires opportunity and support. In most cases, workplace conditions differ considerably from those in a training session.

What happens when a leader wants to delegate differently after the training, but everyone around them continues to escalate every decision? Or when they want to provide regular feedback but find neither the time nor the support to do so?

Research on training transfer shows that support from both leaders and colleagues is relevant to the application of learning.

What we can change in practice

First, let us be clear: the goal is not to persuade participants to give higher ratings at the end of a training session. What matters is not the score, but the outcome.

More important than “What have I learned?” is “What can I apply from this training?” Our goal must therefore be to build a practical bridge between learning and everyday work.

1. Ask the crucial follow-up question

Alongside the rating, we could ask:

“What else do you need to feel confident applying what you have learned?”

Or, more specifically:

“In which situation do you already feel confident — and in which do you not?”

This helps us distinguish between a need for further practice, a clearer connection to real work, support in the workplace, or something else entirely.

2. Create practice loops rather than one-off exercises

One possible approach is to work through a real situation, receive targeted feedback, and then try the same situation again.

Rather than adding more content, we should provide more opportunities to build confidence through focused practice. These practice and feedback opportunities can be integrated into the training itself and into follow-up learning activities.

Here, too, support after the training — such as the AI-powered role-plays described earlier — is key to helping participants change or adapt their behavior.

3. Make the first application step specific and visible

“I will give more feedback” is an intention. For a transfer plan, I would make it more specific:

  • Who will I have the next conversation with?
  • When will it take place?
  • What specific behaviour do I want to try?
  • What might get in the way?
  • Who can give me feedback afterwards?

Action plans, peer exchange, and conversations with leaders are established approaches to supporting application after training.

Exercises and scenarios must reflect participants’ actual working situations as closely as possible, rather than relying on hypothetical cases disconnected from their experience.

transfer

4. Do not leave the transfer entirely to the participants

Even before the training, participants and their leaders could clarify:

What should be different afterwards? Where will there be a suitable opportunity to try something out? What support will be needed?

This makes application a shared responsibility rather than an additional expectation that participants are left to manage on their own.

Research highlights the importance of a supportive work environment and genuine opportunities to apply learning. It therefore makes sense to build post-training activities into the programme design from the outset. Follow-up peer-learning groups, transfer labs, coaching, and the involvement of participants’ leaders can all be valuable elements.

5. Ask different questions after the training

The 1-Minute Feedback provides an important snapshot. Six to twelve weeks after the training, it is useful to ask follow-up questions that reflect the time elapsed and explore how participants have applied their learning:

  • What specifically have you tried?
  • What worked, and what did not work yet?
  • What changes have you observed?
  • What supported or prevented application?

This complements the immediate assessment with experience from everyday work.

Transfer is not a single moment. Initial attempts, feedback, and further adjustments can develop into changed behavior over time. A second or third feedback cycle, including one around six months after the training, can help capture longer-term changes.

The lowest score can prompt the most valuable question

Naturally, every trainer, consultant, and project manager appreciates excellent training evaluations. At the same time, this kind of affirmation carries the risk of interpreting the training and its design as “close to perfection”.

That does not mean we should rush to question every training programme. Rather, we need to understand what support is still missing between learning and action. In my view, this is one of the central responsibilities of L&D: not only to create a compelling learning experience, but also to design for transfer.

A noticeably lower rating should therefore not be dismissed as an unwelcome judgement or a sign of a negative attitude. Instead, it can provide both an incentive and a useful indication of where the training or its transfer support could be improved.

Of course, some negative feedback may reflect a participant’s mood more than the quality of the training. The open-text comments, where provided, can often help us understand the context. If they explain the negative rating or highlight unmet expectations or missing content, they should also inform improvements to the training where appropriate.

What have you experienced when it comes to the gap between high training satisfaction and lower confidence in applying the learning — and what helps you close it?

Florian Biedermann

Florian Biedermann

Learning & Development Consultant at MDI

Florian Biedermann is a Learning & Development Consultant at MDI (Management Development Institute) – a global consulting company that offers solutions for leadership development. His focus is on making complex issues understandable and inspiring people to think – and act. Florian previously worked for many years as an author and manager in the e-learning sector, after spending over a decade as a freelance journalist.

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by Zeca Ruiz | Oct 15, 2026 | Leadership Tips, Short Knowledge Bits | 0 comments

Are Leaders Asking the Wrong Questions About Employee Retention?

I was recently invited to give a talk at an association of business owners in Brazil, which was organizing a symposium on a timely topic: workforce challenges in a fast-moving, digital world.

Right in the briefing, the organizer raised one of the first points: the business owners were complaining about two things at once. The people already inside their company weren’t satisfied, and the people outside didn’t want to come in.

I asked what they thought was behind it. The answer, which she relayed on behalf of the owners, came quickly and seemed ready-made: “nobody wants to commit to anything anymore.”

I have a rule of thumb: a quick, surface-level answer always hides a deeper cause. So I went looking. I didn’t find a single cause, and I suspect there isn’t one. I found a hypothesis that seemed more useful than the first: What if part of the problem is time?

Why Flexibility Matters to Employees

While researching, one case caught my attention: Dropbox, which allows employees to design their own workdays, with a few fixed windows for collaboration and the rest left open.

According to the company itself, nine out of ten employees identified this way of working, combining remote work and flexible hours, as one of the main reasons they stay. This comes from an internal survey at a tech company, so it doesn’t prove anything on its own. But it points in an interesting direction.

And you don’t have to look to Silicon Valley for a similar signal. Tens of millions of people in Europe now work through apps and digital platforms, and when asked why, the ability to choose their own working hours ranks among the top reasons.

For many, it’s also simply the job that was available, so it would be unfair to say they all chose it for the flexibility. But it does say something about what traditional employment may no longer be offering.

Flexible Working Hours

Can Flexible Working Hours Work Beyond the Office?

For anyone running a factory or a shop, the conversation is different. Not everyone can decide when a shift starts. But on the other hand, having control over your own time doesn’t have to mean complete freedom. Even at Dropbox, flexibility comes with fixed windows for working together.

Still, Dropbox is a company where people primarily work from laptops, while the business owners I was speaking to run factories and shops. So I looked for someone who had tested the same question in a setting closer to theirs, and I found a study conducted at the American retailer Gap.

Researchers ran a controlled experiment across 28 stores. In some of them, employees received their schedules two weeks in advance and were no longer required to be on call.

The results were striking: those stores increased sales by a median of 7%, while labor productivity rose by 5%. Employees also reported sleeping better, something you don’t usually find in a sales report.

Small Changes Can Make a Difference

I don’t have equivalent evidence for the industrial sector, and every operation has its own constraints, whether related to customers, shifts, or regulations. So I would avoid treating this as a universal recipe. What seems reasonable to me is testing the hypothesis before accepting the first explanation.

One possible first step is small and reversible: ask your team which scheduling rule has the greatest impact on their lives. Pick one, test a change for a few weeks, and decide in advance how you’ll measure whether it worked. You could look at absences, employee turnover, or lateness.

If it doesn’t work, you can go back to the previous arrangement. At least you’ve learned that this particular rule wasn’t the problem.

Are We Asking the Right Questions About Workforce Challenges?

Back to the briefing for that symposium.

The business owners weren’t wrong about the symptom: there are people who are unhappy inside their companies and people who are reluctant to join them.

Maybe they’re wrong about the cause. Or maybe they simply stopped at the first answer. Before repeating that nobody wants to commit to anything anymore, it’s worth asking:

When was the last time your team had a say in their own schedule?

Zeca Ruiz

Zeca Ruiz

Leadership Trainer and Consultant

Zeca Ruiz is a Leadership Trainer, Facilitator and Consultant in Human and Organizational Development. He works in leadership development across Latin America and Europe, with experience in cultural transformation processes, team dynamics and the integration of systemic methodologies into corporate practice. He is a specialist in complex thinking, a generative coach and an integrative therapist, working at the intersection between human behavior, learning and the evolution of systems. He leads trainings, talks and development programs that combine depth, clarity and practical application to prepare people and organizations for high complexity environments.

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