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Productivity

Wednesday, July 09, 2025

Accountability: What It Means and How to Give Autonomy Without Losing Responsibility

There is a conversation that appears frequently in one-on-ones, performance reviews, leadership meetings, and even LinkedIn posts: people want more autonomy at work.

I agree with that. Companies tend to work better when trusted professionals can think, decide, experiment, learn, and act without asking for approval for every small step.

But there is one part of this conversation that receives much less attention: autonomy also means taking responsibility for the decisions you make.

And this is exactly where accountability comes in.

Giving people autonomy without accountability creates chaos. Demanding accountability without giving people autonomy creates micromanagement. The real challenge for leadership is building an environment where people have room to make decisions, clearly understand their boundaries, and know they will also be expected to answer for the results of those decisions.

That balance is what I want to discuss in this article.

What does accountability mean at work?

In a professional context, accountability means taking responsibility for the decisions, actions, and results that are under your control. It is not simply completing a task because someone asked you to do it. It means understanding what you own, making decisions within that space, and being willing to answer for what happens afterward.

A simple accountability definition would be: having responsibility for an outcome and being able to explain the decisions and actions that led to it.

There is also an important difference between accountability and blame. Accountability should not mean finding someone to punish whenever something goes wrong. If that is the company culture, people quickly learn a very simple survival strategy: do not make decisions.

For me, accountability works best when there is clarity. The person knows what they are expected to deliver, understands which decisions they can make, knows their limits, and can explain why they chose a particular path.

In other words, accountability cannot be only:

“You are responsible for the result.”

It also needs to include:

“You have enough autonomy to influence that result.”

Accountability does not simply mean demanding results

Some companies say they want more accountability when what they actually want is more pressure.

The professional still cannot define priorities, control the budget, negotiate deadlines, change scope, or make practically any relevant decision. But when the expected result does not arrive, someone asks why that person did not “take more responsibility.”

That is not accountability.

If someone is responsible for an outcome, they need some degree of influence over the decisions that lead to that outcome. The greater the responsibility, the greater the decision-making authority should be — within previously agreed boundaries.

Otherwise, we create a very convenient situation for the organization: one person carries all the responsibility for the result but has no authority to change the path.

What is the relationship between accountability and autonomy in the workplace?

Autonomy in the workplace is the ability to make certain decisions without constantly depending on someone else’s approval. Accountability is the commitment to answer for those decisions and for the results they produce.

The two need to work together.

When there is autonomy without accountability, people can move in different directions, make commitments without considering the consequences, or transfer responsibility when something goes wrong.

When there is accountability without autonomy, people become responsible for decisions they never had the authority to make.

A healthy model sits somewhere in the middle: freedom to decide within clear boundaries and responsibility for the consequences of those decisions.

Autonomy without responsibility is not autonomy

Everyone likes the pleasant side of autonomy. Being able to decide. Not having to ask permission. Having more influence. Being heard. Having more control over your own work.

The less attractive part appears when a decision goes wrong.

You promised something you should not have promised. You misunderstood a situation. You accepted a risk that looked small. You overlooked an important detail. You made a decision that created costs, delays, rework, or customer dissatisfaction.

That is when we discover whether autonomy really existed.

If an organization offers autonomy only while every decision turns out well, it is not really offering autonomy. It is offering temporary freedom conditioned on perfection.

And nobody learns to make complex decisions without making a few wrong ones along the way.

The client does not care about your learning curve

There is another difficult factor: the client is usually paying for a result. They do not necessarily care whether this is your first experience in the role, whether you were recently promoted, or whether you are still learning how to deal with a particular situation.

When a significant mistake happens, it can quickly reach managers, directors, or executives. And then an important question appears:

Is the company really willing to accept the cost of developing people with greater autonomy?

Because autonomy has a cost.

People learning to make decisions will make mistakes. Some decisions will cost money. Others will create rework. Some may even damage a commercial relationship.

Companies that want independent professionals but punish every mistake eventually teach the opposite behavior: wait for approval, move decisions upward, and avoid taking risks.

They want ownership, but only when everything goes well.

That is not autonomy. That is a trap.

Clearly define which decisions a person can make

One of the biggest mistakes I see when people talk about autonomy is simply saying:

“From now on, you can decide.”

Decide what?

A person needs to know which decisions they can make independently, which require alignment, and which must be escalated.

For example:

  • What budget can they approve?
  • What commitments can they make to a client?
  • What level of risk can they accept?
  • Can they change a priority?
  • Can they change a deadline or scope?
  • Can they negotiate directly with another department?
  • In which situations must leadership be involved?

The clearer these boundaries are, the easier it becomes to build accountability.

The person understands where their decision-making space ends and where someone else’s responsibility begins.

Autonomy should increase with professional maturity

I do not believe every person should have exactly the same level of autonomy.

That does not mean treating professionals unfairly. It means recognizing that different people have different levels of experience, knowledge, context, and ability to manage risk.

A professional who has just entered a new role may start by making lower-impact decisions. As they demonstrate an ability to evaluate consequences, manage pressure, and learn from mistakes, their decision-making space can increase.

A more experienced professional may take responsibility for decisions involving clients, budgets, risks, priorities, or higher levels of complexity.

The goal is not to control someone forever. The goal is to increase autonomy progressively as their ability to handle accountability grows.

Delegation: freedom also needs boundaries

Delegating should not simply mean assigning a task and disappearing.

When we delegate something, we need to transfer not only the work but also an appropriate level of authority.

There is a major difference between:

“Do this.”

and:

“You are responsible for this outcome. These decisions are yours. In these situations, talk to me before moving forward.”

The second version creates much more clarity.

It also avoids the kind of fake autonomy where someone believes they can make decisions until the first time their manager disagrees with one of them.

Allowing mistakes is part of professional development

If we want someone to learn how to make decisions, we need to create space for that person to face real situations.

Training helps. Documentation helps. Watching more experienced professionals helps. But at some point, the person needs to receive a difficult question, analyze a situation, form an opinion, and make a decision.

That is when learning reaches another level.

My preference is to let less experienced professionals face real situations, but within a controlled level of risk.

If someone does not know how to answer a client’s question, for example, they can bring it back to the team or leadership. Instead of someone else simply taking control of the conversation and solving everything for them, we can help that person think through the answer, understand the consequences, and return to the client with a better-structured decision.

The professional remains the protagonist of the situation, but does not need to learn by destroying something important.

Learning from mistakes does not mean accepting every mistake

There is also an opposite extreme that I do not consider healthy: romanticizing every mistake as a learning opportunity.

Not every mistake should be acceptable.

Repeating the same mistake several times without learning is different from making a new mistake while developing a skill. Deliberately ignoring a critical procedure is different from misjudging a complex situation.

That is why I like to think of mistakes as risks.

What is the potential impact? How much are we willing to lose? Is the decision reversible? Is someone available to help? Can we start with a smaller situation before increasing exposure?

If someone is learning how to manage clients, they probably do not need to start with the company’s most important client. If they are learning to make financial decisions, they probably should not immediately receive authority over the largest budget.

Autonomy can be developed gradually without preventing learning.

Trust is built through decisions

We often hear that leaders simply need to trust their teams more. I agree to a point, but I also believe professional trust is built over time.

When someone receives room to decide, explains their reasoning, considers risks, asks for help when necessary, learns from mistakes, and delivers results, trust naturally increases.

With more trust, we can expand that person’s decision-making space.

This creates a healthy cycle:

autonomy → decision → result → learning → trust → more autonomy.

The problem appears when we break that cycle. Without autonomy, people never learn to make decisions. Without accountability, there is no real learning from consequences. Without trust, professional growth eventually turns back into micromanagement.

Are accountability and ownership the same thing?

There is a strong relationship between accountability, ownership, and sense of ownership, but I would not treat them as exact synonyms.

Ownership is closely related to treating something as your own: a problem, a delivery, a decision, or an outcome.

Accountability adds a specific dimension: being willing to answer for the result and explain the decisions that led to it.

In practice, these concepts work well together. We want professionals who look beyond their own tasks, take ownership of problems, and answer for the decisions they make.

How to prevent autonomy from becoming micromanagement

There is a common risk when organizations start paying more attention to accountability: monitoring turns into surveillance.

The manager begins constantly asking what every person is doing, reviewing every small task, questioning every decision, and requiring approval for practically everything.

At that point, autonomy no longer exists.

For me, the solution is to separate visibility from control.

A leader needs to know whether a project is falling behind, whether costs are increasing, whether risks are appearing, whether quality is declining, or whether certain activities are producing too much rework.

But that does not mean controlling how every professional spends every minute of their day.

How to measure autonomy and performance without micromanagement

The more autonomy we give people, the more important good visibility into outcomes becomes.

The question stops being:

“What is this person doing right now?”

and becomes:

“Are we producing the expected results within the boundaries we agreed on?”

This is where data can help significantly. In technology projects, information already available in Jira, Azure DevOps, Asana, monday.com, and ClickUp can show delivery progress, rework, costs, delays, estimates, productivity, risks, and task quality.

With Saint Jude Project Intelligence , this information can be analyzed without turning autonomy into constant monitoring of every individual.

If results are within expectations, the manager may not need to intervene. If meaningful deviations begin to appear, there is enough information to investigate before the problem becomes larger.

For me, this is one of the best ways to balance autonomy and accountability:

less control over every individual step and more visibility into results, risks, and consequences.

Autonomy must be earned, but it must also be given

In the end, autonomy cannot exist only as a promise inside a company culture presentation.

The professional needs to demonstrate that they can handle increasingly complex decisions, but the company also needs to provide real opportunities for that to happen.

If someone is never allowed to decide anything, they will never develop decision-making ability.

If every mistake destroys their autonomy, they will never learn how to deal with consequences.

And if the company demands accountability without giving authority, it is simply pushing responsibility downward while keeping every meaningful decision at the top.

For me, a healthy relationship between autonomy and accountability can be summarized simply:

Give people room to decide. Define the boundaries. Make results visible. Allow learning. And increase autonomy as their ability to take responsibility grows.

See you soon!

Erik Scaranello