A disappointing outcome doesn’t necessarily mean you made a bad decision
One of the most deeply unhelpful habits in professional and personal life is judging the quality of a decision purely by the outcome it produced. Annie Duke in her groundbreaking book Thinking in Bets calls this "resulting" the dangerous tendency to evaluate a decision based on how things turned out rather than by the quality of the thinking that produced it in the first place.
We do it instinctively. A project fails so the decision to launch it must have been wrong. An investment drops so buying it was clearly a mistake. A hire doesn't work out so the recruitment decision was obviously flawed.
But that logic is broken. And understanding why it's broken could be one of the most important mindset shifts you ever make.
Why We Naturally Judge Decisions by Their Outcomes
It is completely understandable of course. Outcomes are visible. They arrive with numbers, reactions consequences and they give us something concrete to point to. When a project launches and underperforms it feels natural even responsible to look back and declare that the decision to proceed must have been flawed from the start.
But that is not always true. In fact it is frequently not true.
The world is uncertain. Markets shift. People change. Competitors surprise us. Timing works against us. None of these forces were necessarily visible or predictable at the moment the decision was made and yet once the outcome lands, we convince ourselves they were.
What Actually Makes a Decision "Good"?
A good decision is not one that guarantees a good outcome.
A good decision is one made with:
The best available information, data and evidence at the time
A clear understanding of the risks involved
A thoughtful structured process for weighing the options
An honest acknowledgement of what was known, unknown and uncertain
This distinction matters enormously particularly for professionals working to become more data-informed because data can sharpen judgement and reduce uncertainty, but it can never eliminate it entirely. Anyone who tells you otherwise is misleading you.
Intelligent Failure: When Good Decisions Lead to Disappointing Results
Consider a common scenario. A team spends weeks reviewing data testing assumptions, stress-testing scenarios, consulting stakeholders and ultimately makes a well-reasoned call to move forward on a project. Then the market shifts. Internal priorities change. Adoption is slower than expected. The outcome is disappointing.
Does that make the original decision wrong?
No. It may simply mean the world remained complex and uncertainty did exactly what uncertainty always does.
Amy Edmondson Harvard Business School professor and author of The Fearless Organization calls this "intelligent failure" a situation where a measured deliberate, evidence-based decision was made but the expected outcome did not follow. Intelligent failure is not something to be ashamed of. It is something to be studied, learned from, and respected as an unavoidable feature of operating in complex unpredictable environments.
The problem arises when we treat intelligent failure the same way we treat poor decision-making because they are fundamentally different things.
The Dangerous Territory of Outcome Bias
When disappointing results arrive most people fall into the trap of outcome bias judging a past decision entirely by what happened afterward rather than by the quality of thinking that led to it.
Closely connected to outcome bias is hindsight bias which convinces us after the fact that the result was inevitable or even obvious all along. Once we know how the story ends, we unconsciously rewrite the beginning. Suddenly the warning signs seem clearer than they were. The risks appear more predictable. The alternative choices look obviously superior.
But that is not reality. That is memory distorted by outcome.
This cognitive trap is dangerous for individuals but it is even more dangerous for organisations. When leaders consistently judge past decisions through the lens of outcomes rather than process they create environments where people stop taking intelligent risks and start playing it safe purely to avoid blame.
The Role of Luck That Nobody Wants to Admit
Love it or hate it there is a real and significant role that luck plays in almost every outcome.
Luck sounds unserious as though acknowledging it dismisses hard work capability or expertise. But in reality, luck simply describes the many forces outside our control that shape results: timing competitor behaviour, stakeholder responses, economic conditions, regulatory changes and plain randomness.
Ignoring luck does not make our analysis sharper. It makes it dishonest.
The most rigorous decision-makers in business, medicine, investing and beyond explicitly account for factors outside their control when evaluating past decisions. They separate what they could influence from what they could not. That separation is not an excuse for poor decisions. It is intellectual honesty.
Why Data-Informed Decisions Matter More Than Ever
This is precisely why building a data-informed decision-making culture matters so deeply.
The real value of data and evidence is not that it eliminates failure. It is that it helps us separate decision quality from decision outcome giving us a clearer more honest basis for reflection and learning.
When we review a decision with data in hand we can ask far better questions:
Did we use the evidence that was actually available to us?
Were our assumptions explicit and visible?
Did we genuinely consider alternatives?
Did we understand what we knew, what we didn't know and what we were consciously choosing to bet on?
Were the risks we accepted reasonable given the information we had?
Those questions are dramatically more useful and more honest than simply asking whether the result was good or bad.
The Culture Danger: When We Only Reward Good Outcomes
If leaders and organisations only ever praise decisions that happen to work out they quietly build a culture that rewards luck over judgement and punishes thoughtful risk-taking whenever chance turns against it.
Over time people in these environments become far more focused on protecting themselves from blame than on making sound, evidence-based calls in imperfect conditions. Experimentation slows. Innovation stalls. Reflection becomes shallow. And learning real meaningful learning becomes nearly impossible.
The most high-performing teams and organisations understand this distinction deeply. They celebrate good progress. They analyse intelligent failures with curiosity rather than blame. And they hold people accountable for the quality of their thinking not merely the fortune of their outcomes.
The Question That Changes Everything
Sometimes the most valuable, honest and productive thing that can be said after a disappointing result is not:
"That was the wrong decision."
But rather:
"Given what we knew at the time — was that a reasonable decision?"
That single shift in question creates space for honesty, genuine learning and better decisions in the future. It separates what was in our control from what was not. It protects good decision-makers from unfair judgment. And it keeps the focus firmly on improving the process which is the only thing we can actually control next time.
Decision maturity is not about pretending uncertainty does not exist. It is about learning how to decide well consistently, honestly and thoughtfully in the presence of it.
FAQ
Q1: What makes a decision good or bad?
A good decision uses the best available information, sound judgment, and careful consideration of risks at the time it is made—not simply the outcome it produces.
Q2: What is "resulting" and why does it matter?Coined by Annie Duke "resulting" means judging a decision solely by its outcome. It matters because it causes us to punish good decisions that got unlucky and reward poor decisions that got lucky slowly destroying the quality of decision-making culture over time.
Q3: What is intelligent failure? Intelligent failure a term from Amy Edmondson's research describes a failure that follows a thoughtful, evidence-based decision made under genuine uncertainty. The process was sound the outcome just didn't cooperate. It is an inevitable and valuable feature of innovation and complex decision-making.
Q4: How does hindsight bias distort our judgement? Hindsight bias makes past outcomes feel more predictable than they actually were. Once we know the result, warning signs seem obvious and better choices seem clear even though they weren't at the time. It makes honest fair evaluation of past decisions extremely difficult.
Q5: How can organisations build a stronger decision-making culture? By evaluating process not just outcomes. Celebrate well-reasoned decisions even when results disappoint. Make assumptions visible before acting. Analyse failures with curiosity not blame. Hold people accountable for the quality of their thinking not the luck of their circumstances.
Conclusion
The most dangerous thing about judging decisions purely by outcomes is not the unfairness to individuals it is what it does to culture, learning and future decision-making over time.
When we consistently reward outcomes over process we stop building organisations that think well. We build organisations that play it safe, avoid accountability and mistake good fortune for good judgement.
The standard worth holding for yourself, your team and your organisation is not "did this work out?" but "did we decide well?" Because in a world defined by uncertainty, complexity and forces beyond our control, deciding well is the only thing that is ever truly within our power. Outcomes will vary luck will come and go. But the quality of your thinking your willingness to use evidence, acknowledge uncertainty and reflect honestly that is what compounds over time.
That is what separates great decision-makers from lucky ones. And in the long run process always outlasts fortune.If you are ready to move beyond gut instinct and build a genuine culture of data-informed decision-making, Dr. Selena Fisk can help. As a leading data storyteller, Selena works with organisations and schools to turn complex data into clear, confident decisions helping teams not just understand their numbers but trust their thinking. Because when your people learn to decide well, consistently and honestly that is when real and lasting impact begins.
