Autonomy: not more, but better aligned
Autonomy at work is often framed as something employees naturally want more of. More freedom, more control, more influence over how work is done - it sounds appealing and logical. Yet in this case, a more nuanced picture emerged. Employees indicated that the current balance largely works well, and that the real needwas not for more autonomy, but for preserving what already fits.
This insight did not come from a working group or a survey, but from an online dialogue in which employees could read each other’s responses, learn from them,and indicate whether they recognized or supported those views. Only then did it become clear how differently autonomy is experienced, depending on role,context, and collaboration - and which signals were both strong and widely supported. The isolated opinion that more autonomy was needed received no meaningful support in the dialogue round.
The core message of this article: dialogue reveals that more autonomy is not required - what works today should be maintained. This prevented the risks of excessive autonomy that earlier survey and working group outcomes had pointed toward incorrectly. If you would like a demonstration and conversation about how dialogue strengthens leadership, you can contact us here.
What the organization-wide dialogue revealed
At first, there seemed to be a clear direction. A working group with representatives from different departments was strongly in favor of increasing autonomy. That can quickly create the impression of broad support. However, the organization hesitated, as the wider employee base had not yet been heard. They wanted to give a voice to everyone - not just the small group who volunteered to participate.
The broader group showed a different picture. Autonomy was not seen as a widely supported improvement that needed to increase, but as something that should align with the nature of the work. For some, autonomy means freedom to make individual choices; for others, it means clarity within shared agreements. The value of autonomy, therefore, lies not in how much is given, but in how well it fits what a person, team, project, or department needs and can handle.
Dialogue reveals what surveys cannot
In the dialogue process, employees go through multiple rounds. First, they contribute their own perspectives in their own words. This generates rich,diverse insight and high participation - people want to be heard.
In the subsequent dialogue round, participants can read each other’s responses and experiences. This allows them to learn how others see things and refine their own views. They can indicate whether they recognize or support a perspective,or where it differs from their own. This immediately shows whether a statement is widely shared or mainly limited to a specific group.
This mutual validation creates a much richer picture than a single-round survey. It prevents overemphasis on frequently mentioned points, while dialogue reveals both how often something is mentioned and whether it is broadly supported or rejected. Leaders can distinguish between signal and noise - and understand the strength of that signal. That makes a critical difference in decision-making.
For topics like autonomy, this distinction is essential. It is not only about whether people want more freedom, but about the form in which autonomy contributes to effective work. Dialogue makes that layer visible.
The pitfall of GenAI
GenAI does not solve the limitations of surveys, because it cannot capture how employees refine their views when they read and learn from others. That process - adjusting what you mean and what matters most - cannot be outsourced to GenAI.
This became clear in this case as well. GenAI was applied to the first round of dialogue, where employees shared their initial input in their own words. The trained model suggested that employees “wanted more autonomy,” that it was “a condition for engagement and productivity,” and even that it influenced their decision to stay with the organization.
None of this was accurate. Not only were these claims not made in that way, but they were mentioned only by a single individual who expressed a desire for “slightly more autonomy and self-direction.” GenAI had put management on a risky,misleading path. It also falsely suggested that autonomy was a condition for retention - again, untrue.
The lesson: GenAI cannot infer what matters most to people in the moment they are learning from each other and refining their views.
Implications for practice
For organizations, this offers an important lesson. When a topic like autonomy arises, the instinct is often to think in terms of “more.” HR - and GenAI - can be biased toward conclusions that confirm existing assumptions, especially when based on working groups or surveys. After all, autonomy is often linked to motivation, engagement, ownership, and job satisfaction.
But this case shows that the better question is often: what is appropriate here?And that broader dialogue leads to more reliable insights - together.
Especially in environments where collaboration, alignment, and shared responsibility are tightly interconnected, increasing individual autonomy can create tension. At the same time, too little autonomy can undermine professional quality and engagement. The right balance is context-dependent. Getting it wrong can lead to resistance, potential mental strain, and significant costs.
Anonline dialogue helps make that balance visible. Not by simply measuring, but by allowing employees to read, recognize, and build on each other’s perspectives. This results in insights that are more reliable, that reflect differences, and that show real support - making them far more useful for effective decision-making. Decisions that resonate with the people involved,who need to carry and accept them. Early involvement prevents resistance and misunderstanding later on.
Closing thought
Autonomy is valuable, but not as an abstract ideal. The goal is not to maximize autonomy, but to find the form that fits the work and the way people collaborate. This case shows that achieving that requires more than a method, a survey, or GenAI.
It requires dialogue - and your people. Only then can they understand each other,learn from one another, and arrive at shared conclusions as well as well-founded differences. That is when you truly see what lives within the organization, and how leadership can combine visibility, participation, and effectiveness. Prevention, in this case, is far better than cure.
Plan a conversation with our team today, here. We’re here to help leaders engage, inspire, and align the people.
