Situational leadership in practice: why the most taught management model is rarely applied correctly
Ask ten managers about the most famous leadership model they ever learned during training, and nine will mention the Hersey-Blanchard model of situational leadership. The four quadrants of directing, coaching, supporting, and delegating have become so familiar to many executives that they can draw them from memory during a meeting. The model is the most widely used framework in leadership development worldwide, and for good reason: it is intuitive, applicable, and contains a truth that is consistently confirmed in practice.
And yet, research consistently shows that the same managers who know the model by heart almost always fall back on one or two preferred styles in their daily work, regardless of what the situation or the employee actually requires. This is not because they do not understand the theory, but it can often be explained by the gap between knowing and doing.
That gap is precisely where most leadership training falls short. And it is also exactly where new forms of practice, such as AI role-plays, can play a role that traditional programs have never fulfilled.
The Hersey-Blanchard model and why it survives
Paul Hersey and Ken Blanchard published their model for situational leadership in 1969, at a time when the dominant view was that good leaders possessed a fixed set of traits—that leadership was a trait, not a skill. Their fundamental insight was different: effective leadership is contextual. What works with a new employee does not work with an experienced professional. What works in a crisis does not work in a stable situation.
The resulting model identifies four styles, linked to four development levels of the employee. A new team member who is enthusiastic but inexperienced requires a directing style: clarifying what needs to be done, how, and when. An employee who is becoming more skilled but remains uncertain requires coaching: more room for their own thinking, but still with guidance. An experienced employee experiencing a dip in motivation requires support. And a high-performing, motivated professional requires delegation and the freedom to fill in the details themselves.
In the years since, the model has been tested, criticized, revised, and expanded. Recent studies show that the model is still widely researched and applied, and that the main point of criticism is not the theory itself, but the difficulty managers face in applying it consistently in practice.
The real problem: the gap between knowing and doing
This is where it becomes uncomfortable for those who invest heavily in leadership training. Research analyzing the actual behavior of managers—not what they say they do, but what they actually do—shows that the majority of leaders fall back on one dominant style in 70 to 90 percent of their interactions. Usually, this is the style in which they feel most comfortable, not the style the employee needs at that moment.
This is not a lack of will. It is how the brain handles quick decisions under pressure. In a meeting, in a hallway conversation, or in a performance review where time is short and tension is high, everyone falls back on their most practiced patterns. And if those patterns have formed around a single style—often directive, sometimes coaching, rarely all four flexibly—then the model remains a poster on the wall rather than a lived practice.
This explains another persistent pattern. Employees evaluating their manager are much more likely to report feeling insufficiently guided or, conversely, over-managed than the manager themselves estimates. Recent meta-analytical work on situational leadership confirms this discrepancy between the self-perception of leaders and the experience of their teams. This is not so much because managers are mistaken, but because they do not see the difference between their preferred style and the desired style without an external mirror.
Why traditional leadership training often falls short here
An average leadership training session on situational leadership follows a recognizable pattern. A day or two of theory, practice moments in small groups, and a concluding reflection. Participants go home with insight, a nice workbook, and the sincere intention to make their style more flexible.
And then Monday begins. The daily grind takes over. The first meeting goes as it always does. The first difficult employee receives the usual approach. Within a few weeks, the manager is back in the same patterns they had before the training. This has nothing to do with the quality of the training, but with the well-known transfer problem that manifests here in full force.
Something special applies to leadership. The skills you are trying to develop—for example, switching between styles, reading what an employee requires at a specific moment, letting go of your own preference when the situation demands something else—are precisely the skills that only develop through repetition. Research into expertise development, particularly the work of K. Anders Ericsson on deliberate practice, shows time and again that this type of skill requires hundreds of hours of focused practice, not one or two days.
That is also why the most effective leadership development programs we know—think of long-term coaching trajectories, mentor guidance, structural reflection practice—have never been easily scalable. They work, but they are expensive and labor-intensive. For a large portion of organizations, it therefore remained limited to two-day training sessions and the hope for the best.
What AI role-plays add to leadership development
This is where it gets interesting, and where PractAIce comes into play. The platform allows a leader to go through the same situation multiple times, with variations in how the employee responds. A conversation with a high-performing employee who suddenly seems less motivated. A conversation with a new team member who is clearly overwhelmed. A conversation with an experienced professional who shows resistance to change.
In each of these scenarios, the leader has the opportunity to try different styles and experience the effect immediately. What does a directing approach do to a professional who is actually looking for more space? How does an uncertain team member respond to delegation? In this way, switching between styles is no longer a theoretical skill, but an internalized repertoire built through repetition.
Importantly, the scenarios are adaptable to the organization’s own context. A leader in a production environment practices with different situations than a team leader in a knowledge organization or a manager in healthcare. PractAIce makes it possible to build scenarios around the specific team dynamics and types of conversations that occur in one’s own work practice.
For L&D professionals, the platform adds something else crucial: measurability. Each practice session records which leadership style was used, how effective it was in 그 scenario, and how a leader’s style repertoire develops over multiple practice moments. For the first time on this scale, this provides insight into the actual flexibility of leadership within an organization, based on observed behavior.
Frequently asked questions about situational leadership
What is the difference between situational leadership and coaching leadership?
Coaching leadership is one of the styles within the broader model of situational leadership. It is characterized by asking questions, providing space, and supporting independent thinking, and is very effective for employees who have basic skills but are still uncertain about application. Situational leadership posits that coaching is the correct style in specific situations, not always. A new employee with insufficient knowledge benefits more from direction than from coaching.
Does situational leadership also work in a flat organization or self-managing
teams?
Does situational leadership also work in a flat organization or self-managing teams?
Yes, although the application looks different. The premise of situational leadership—that different people require different forms of leadership at different times—applies regardless of structure. In self-managing teams, the question shifts from “which style fits this employee?” to “what form of leadership does this team need right now?” Switching between styles remains the core.
How do you know which style is right at any given moment?
The model provides guidelines, but in practice, it requires observation. Two things help consistently: looking at the combination of the employee’s competence and motivation for this specific task (not in general), and engaging in a conversation about what someone needs rather than assuming you already know. That observation is itself a skill that develops through practice.
Can you really learn situational leadership through an AI role-play?
It aligns surprisingly well with what the model requires. Learning situational leadership means: repeatedly practicing switching between styles in different scenarios, with immediate feedback on what worked. That is exactly what AI role-plays make possible. What AI does not replace is the human nuance of an experienced mentor or coach. What it does add is the scalable practice space that this specific skill requires.
In conclusion
Despite its age, situational leadership remains one of the most useful models for those wishing to develop leadership. Not because it is perfect, but because it exposes a truth that is consistently confirmed in practice: there is no single right way to lead, and the art lies in the ability to switch.
The question for organizations is not whether this model is still relevant. That has long been answered. The question is how you help leaders make the transition from knowing the model to switching between styles in practice—even under pressure, even in difficult conversations, even when time is short. That step requires something that traditional training does not offer: structural practice.
Would you like to explore how PractAIce makes this practice possible for your leadership team? A fifteen-minute demo shows how a conversation proceeds and what development data the platform generates.