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I knew that would happen!
Why successful ideas look obvious afterwards
We can probably all think of a product or idea that became a huge success and, afterwards, seemed destined to do well. The consumer need was clear, the proposition was strong and the timing was right. Looking back, all the clues appear to have been there.
The same thing happens when something fails. Once we know the outcome, the warning signs can suddenly seem obvious. The market was not ready, the proposition was unclear or the idea moved too far away from what people already knew.
But were either of these outcomes really so predictable beforehand? When the decision was being made, the evidence was probably less complete, the signals more contradictory and several different outcomes still seemed possible.
Once we know what happened, we become very good at constructing a story that explains it. The problem is that the story can make the result appear far more inevitable than it really was.
We knew it all along
The old proverb “After the event, even a fool is wise” shows that this tendency was recognised long before psychologists gave it a name. It describes our ability to see the right choice once the outcome is already known. In the 1970s, psychologist Baruch Fischhoff began studying the phenomenon systematically, describing it as hindsight bias. His research showed that once people knew how an event had turned out, they judged that outcome as having been more likely and predictable beforehand. It is also known as the “knew-it-all-along” effect.
This is not simply about claiming that we predicted something when we did not. Knowing the outcome actually changes how we interpret the information that came before it. Details that support the result become more noticeable and meaningful, while evidence pointing towards other possibilities becomes easier to overlook.
A successful launch therefore creates its own logic. Consumer demand, a distinctive design and a well-timed campaign become the reasons it was always going to succeed. The uncertainty surrounding the original decision gradually disappears from the story.
Outcomes simplify complicated decisions
Commercial decisions are often made with incomplete information. Research can reduce uncertainty, but it cannot remove factors like competitor activity, economic uncertainty, or the unpredictability of consumer behaviour.
Despite this, we often judge the quality of a decision by the outcome it produced. A successful result is taken as evidence of a good decision, while a poor result suggests that somebody made the wrong call.
But the outcome alone is not always a reliable measure of the decision that produced it. A well-considered choice can still disappoint because circumstances change or execution falls short. Equally, a weak decision can succeed because the market moves in its favour, a competitor stumbles or the timing proves unexpectedly fortunate.
Outcomes clearly matter and should inform what happens next. But they tell us what happened, not necessarily whether the original decision was good or bad based on what was known at the time.
Success can teach the wrong lesson
It is understandable that businesses want to learn from successful products and campaigns. The danger is that hindsight encourages us to identify a tidy set of winning characteristics and treat them as a formula.
We copy the visible features of the success while overlooking the conditions that helped make them effective. A design style, campaign format or product benefit becomes the explanation, even though timing, context and execution may have mattered just as much.
We can easily end up learning the wrong lesson. We conclude that consumers want simplicity, premiumisation works, disruption wins or distinctive packaging drives growth. Each conclusion may contain some truth, but it can become misleading when separated from the category, audience and circumstances in which the success occurred.
This helps explain why copying a competitor’s winning idea rarely recreates its performance. By the time the visible formula has been identified and reproduced, the conditions that made it successful may already have changed.
Failure is part of discovery
Failure has always been part of discovery. Many important inventions were reached only after repeated attempts showed what did not work. Thomas Edison is often said to have produced 10,000 unsuccessful light bulbs before finding one that worked. The exact figure is doubtful, but Edison and his team tested hundreds of experimental lamps and thousands of possible filament materials before developing a practical electric lighting system.
These attempts were not simply failures on the way to success. Each one provided information that shaped the next. The working light bulb emerged from a process in which being wrong repeatedly was an essential part of eventually getting it right.
Commercial environments rarely make the same allowance. Innovation is encouraged, but budgets, targets and accountability mean that unsuccessful ideas still need to be explained. Once the outcome is known, hindsight bias can make an informed experiment look like an avoidable mistake. The warning signs appear obvious, and people ask why the idea was allowed to progress.
This can encourage teams to favour ideas that are easier to defend rather than those with the greatest potential. If failure is always treated as evidence of poor judgement, genuine experimentation becomes difficult. Innovation requires uncertainty, and uncertainty means accepting that some well-considered ideas will not work.
That does not mean every failure should be celebrated. Repeating the same mistake or continuing without learning is not progress. Failure becomes valuable when it tests an assumption, produces useful evidence and improves the next decision. The challenge is creating a commercial environment in which an intelligent failure can still count as a successful piece of learning.
Judging the decision fairly
One way to reduce hindsight bias is to record expectations before the outcome is known. What did we believe would happen? Which assumptions mattered most? What risks did we identify, and what alternative outcomes did we consider plausible?
Returning to those expectations after a launch provides a more honest basis for learning. It allows us to distinguish between assumptions that were wrong, risks that materialised and events that could not reasonably have been anticipated.
It is also useful to separate the decision from the result. Was the available evidence interpreted sensibly? Were credible alternatives considered? Did the decision reflect the commercial objective and the level of risk the business was prepared to accept?
These questions do not guarantee better outcomes. They do, however, make it harder to replace the uncertainty of the original decision with a convenient story constructed afterwards.
Learning without rewriting the past
Looking back will always make the path seem clearer than it was. The challenge is to learn from an outcome without pretending it was inevitable.
Success can make us overconfident in our judgement, while failure can make us overly critical of it. If we allow the outcome to rewrite the uncertainty that existed at the time, we may come away with a convincing explanation rather than a useful lesson.
Perhaps the most useful question after a success or failure is not, “How did we fail to see this coming?” It is, “What did we reasonably know at the time, and what should we understand differently next time?”
