S³ Paper 007

What Makes a Good Decision?

Why organisations confuse good outcomes with good decisions.

Introduction

Every organisation strives for better outcomes. Boards seek stronger financial performance, project teams pursue successful delivery, investors expect sustainable returns and public institutions aim to improve the lives of the communities they serve. Regardless of sector or purpose, organisational success is ultimately judged by results.

This emphasis is entirely understandable. Outcomes are visible, measurable and comparatively straightforward to evaluate. Revenue can be reported, customer satisfaction surveyed, carbon emissions benchmarked and projects assessed against cost, programme and quality. Because outcomes are tangible, they naturally become the primary measure of organisational performance.

Yet this focus conceals an important assumption: that successful outcomes are reliable evidence of good decisions.

Although intuitively appealing, the relationship is far less straightforward. Good decisions sometimes produce disappointing outcomes, while poor decisions occasionally benefit from favourable circumstances beyond anyone's control. Markets change unexpectedly, competitors behave unpredictably, technologies evolve and unforeseen events reshape even the most carefully considered plans. When organisations judge decisions solely by their eventual outcomes, they risk learning the wrong lessons from both success and failure.

This distinction is more than philosophical. It lies at the heart of organisational learning. If organisations wish to improve the quality of their judgement, they must first recognise that outcome quality and decision quality are related, but they are not the same thing.

Outcomes Are an Imperfect Measure of Judgement

Every significant organisational decision is made under conditions of uncertainty. Leaders rarely possess complete information, engineers work with assumptions that may later prove incorrect and designers balance competing priorities without knowing how users will ultimately respond. Investors commit capital without certainty about future markets, while governments introduce policies whose long-term consequences cannot be fully predicted.

Judgement exists precisely because certainty does not. If every relevant fact about the future were already known, decision-making would become an exercise in calculation rather than interpretation.

This means that every important decision represents a reasoned assessment of an uncertain future. Some of those assessments will prove accurate, while others will not. The outcome alone, however, tells us remarkably little about the quality of the reasoning that produced it.

Consider two organisations making the same strategic investment using comparable evidence, similar assumptions and an equally disciplined decision-making process. One enters a period of economic growth and exceeds expectations. The other encounters an unexpected recession and struggles despite making an equally thoughtful decision. If the outcomes differ solely because the environments differ, it becomes difficult to argue that one organisation demonstrated superior judgement simply because it experienced greater success.

Separating the quality of a decision from the quality of its outcome is therefore essential if organisations wish to learn accurately from experience.

The Distorting Effect of Hindsight

One of the greatest obstacles to organisational learning is hindsight. Once an outcome becomes known, it is surprisingly difficult to reconstruct the uncertainty that existed before the decision was made. Information that was unavailable at the time gradually becomes incorporated into our understanding of the past, making alternative courses of action appear more obvious than they ever were.

This tendency influences organisations in subtle but significant ways. Successful outcomes are often interpreted as evidence that existing decision processes are effective, while unsuccessful outcomes are treated as proof that those processes were flawed. Yet neither conclusion is necessarily justified. A favourable outcome can reinforce poor judgement just as an unfavourable outcome can obscure disciplined and well-reasoned thinking.

The consequence is that organisations sometimes reward decisions that were fundamentally weak while criticising decisions that were entirely reasonable given the information available at the time. Over time, this creates distorted organisational learning in which outcomes receive far greater attention than the judgement that produced them.

A more meaningful question is therefore not whether a decision eventually succeeded, but whether it represented the best judgement that could reasonably have been exercised under the circumstances.

Defining Decision Quality

If outcomes alone cannot determine whether a decision was good, organisations require a different way of evaluating judgement.

I describe this as Decision Quality.

Decision Quality is the extent to which a decision has been made through a disciplined process that appropriately combines evidence, professional expertise, transparent assumptions, meaningful alternatives and sound judgement under conditions of uncertainty. Importantly, Decision Quality can be assessed before the future becomes known because it evaluates the reasoning behind the decision rather than the consequences that may eventually follow.

This distinction shifts attention towards questions that organisations can meaningfully influence. Was the decision clearly defined? Was the available evidence both relevant and reliable? Were important assumptions identified rather than left implicit? Were alternative options genuinely considered? Were uncertainty and risk understood? Was accountability clear? Was the reasoning preserved so that future teams could understand why one course of action was preferred over another?

None of these questions guarantees success.

Collectively, however, they provide a far more reliable indication of organisational judgement than outcome alone.

Decision Quality Is an Organisational Capability

There is a natural tendency to associate good decisions with exceptional individuals. Organisations frequently celebrate visionary leaders, experienced professionals or talented specialists whose judgement appears consistently superior to that of their peers.

Individual expertise undoubtedly matters.

Yet sustained organisational performance depends upon something broader than individual capability.

No organisation succeeds because one person occasionally makes an outstanding decision. Success emerges from thousands of interconnected decisions made by people across different disciplines, functions and levels of responsibility. The overall quality of organisational judgement therefore depends not only upon the competence of individuals, but upon the environment within which those individuals make decisions.

Decision Quality should therefore be understood as an organisational capability rather than merely an individual attribute. High-performing organisations create conditions that enable good judgement by ensuring evidence is accessible, assumptions remain visible, responsibilities are clear, previous reasoning is preserved and learning continuously strengthens future decisions. They reduce unnecessary friction without removing professional judgement, allowing people to make better decisions together rather than relying upon isolated expertise.

Designing for Better Judgement

Improving Decision Quality does not require organisations to eliminate uncertainty. Such an ambition is neither realistic nor desirable, since uncertainty is an inevitable feature of every significant strategic, technical and commercial decision.

Instead, organisations should focus on improving the conditions within which judgement occurs.

Evidence should be available when it is needed rather than discovered afterwards. Assumptions should be explicit so they can be challenged rather than silently shaping recommendations. Alternatives should be explored before commitment rather than reconsidered after failure. Decision ownership should be unambiguous, while the reasoning behind important decisions should become part of the organisation's Decision Memory, allowing future teams to understand not only what was decided but why.

These practices do not remove uncertainty.

They improve the organisation's ability to navigate it.

Over time, organisations that consistently strengthen these conditions develop a distinctive advantage. Their judgement becomes more disciplined, their learning becomes more reliable and their decision-making becomes progressively more resilient despite operating within environments that remain inherently unpredictable.

Conclusion

Every organisation hopes for successful outcomes.

The organisations that consistently outperform their peers, however, recognise that outcomes are only part of the story. Markets fluctuate, technologies evolve, competitors respond and unexpected events reshape even the most carefully considered plans. No organisation can control every variable that influences success.

What organisations can control is the quality of the judgement they apply before those outcomes emerge.

Decision Quality therefore represents more than another management metric. It reflects an organisation's capacity to combine evidence, experience, transparency and thoughtful reasoning in order to make the best possible decisions under conditions of uncertainty. Although no decision process can eliminate risk, consistently improving the quality of organisational judgement increases the likelihood that future outcomes will improve over time.

The most successful organisations will not be those that predict the future perfectly.

They will be those that continually improve how they think before the future arrives.