Good decisions do not happen by chance

2 hands with boxing gloves punching

Leaders today make more decisions than ever before. At the same time, they have more information at their disposal – and with Artificial Intelligence, a tool that generates analyses, develops alternatives, and formulates recommendations for action within a few seconds.

At first, that sounds like an enormous relief. But this is precisely where a danger lies: because not every quick answer automatically leads to a good decision. Data does not replace experience. Algorithms do not replace responsibility. And AI knows neither the culture of a company nor the dynamics of a team.

So: 'Hand on heart:' How sustainable are your decisions?


Decision Quality – an old concept with new relevance

The term Decision Quality is by no means new. It describes the quality of a decision not based on its subsequent outcome, but on the decision-making process itself.

Because even a carefully prepared decision can fail due to external influences. Conversely, a bad decision can certainly appear successful – simply because the framework conditions were favorable.

Therefore, what matters is not only what is decided, but how a decision is reached.

Were different perspectives taken into account? Was the information reliable? Were there real alternatives? Were opportunities and risks openly discussed? And do those involved stand behind the decision afterwards?


Why the topic is gaining importance right now

The speed at which companies must act today is continuously increasing. At the same time, decisions are becoming more complex. Markets are changing, technologies are developing rapidly, teams are working hybridly, and AI is changing almost every form of knowledge work.

This creates a conflict: on one hand, the pressure to decide quickly is rising. On the other hand, the risk of overlooking important aspects increases.

AI can be an enormous support here. It recognizes patterns, processes large volumes of data, and helps to make options visible. What it cannot do, however, is replace human judgment.

Values, experience, responsibility, or the political and cultural impacts of a decision remain the task of leaders.


Decision quality needs different perspectives

That is why many companies are now deliberately relying on decision architectures that reduce blind spots. For important strategic issues, different departments or stakeholders are involved at an early stage. The goal is not to delay decisions unnecessarily, but to increase their sustainability.

These formats serve to allow important decisions to be reflected upon from different perspectives before their implementation, the so-called Decision Boards.

This is not another committee that slows down decisions, but a deliberately assembled circle of people with different perspectives and responsibilities. Before far-reaching decisions are implemented, they question assumptions, shed light on potential risks, and examine what impact a decision could have on customers, employees, processes, or the corporate culture.

This shift in perspective confirms how fundamentally leadership has already changed today. Good leadership today no longer means knowing every answer yourself. It means asking the right questions, deliberately including different viewpoints, and also having the courage to have your own assessment questioned.


Leadership currently needs more judgment than ever

With every new technological development, the value of human judgment rises. That is why decision quality is becoming an important facet of modern leadership. It determines whether companies remain capable of acting even under uncertainty and can successfully shape change.

Do not ask yourself the question: "Which decision do we make?"

But rather:

"How do we ensure that this decision is truly sustainable?"


About the author Barbara Liebermeister

Barbara Liebermeister is the founder and director of IFIDZ — the Institute for Leadership Culture in the Digital Age. As a management consultant, coach, and keynote speaker, she combines business experience with scientific depth and coined the concept of Alpha Intelligence®, which captures the key capabilities modern leaders need. With many years of leadership experience and as a coach for top decision-makers, she has supported organizations of all sizes for more than two decades on their path toward contemporary leadership — practical, strategic, and effective. Insights from her work have informed several books on self-leadership, networking, and leadership in the digital world. Barbara Liebermeister teaches at RWTH Aachen University, Kempten University of Applied Sciences, and other institutions, and also mentors students at universities in Hesse. She studied economics, holds a master’s degree in neuroscience, and has completed training as a business, management, and sports mental coach. Recognized work: For her pioneering work, she was nominated for the #digitalfemaleleader Award in 2017. In 2018, LEADT, the analysis tool developed by her institute to measure digital leadership maturity, received the renowned Wolfgang Heilmann Award at Learntec.

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