To err is human! Nevertheless, individual mistakes and our own failures are taboo subjects in our society. Already in childhood we learn that mistakes are something bad and have to be avoided. This attitude is reinforced through school education and many people are unable to take calculated risks. However, if we look at highly successful individuals, we notice that many of them had a difficult past and had to learn how to deal with adversity. This seems to be a contradiction to the assumption that failure is something negative. Thus, the question arises whether failures also have a positive influence on individual learning success. This post will look at why failures are the foundation for development, how individuals learn from mistakes, and why an environment that tolerates failure can have a positive impact on long-term success.
Why Society Punishes Failure
We live in a society where successes are celebrated and failures punished. Even if the avoidance of (unnecessary) risks seems to make sense from an evolutionary point of view and has manifested itself over a long period of time as an integral part of human psychology, the usefulness of this must at least be critically questioned from the current perspective. Smith & Henriksen (2016) point out that "openness to failure is an essential prerequisite for curiosity" and curious behavior. However, the traditional education system reaches its limits here, as it is not designed to create a safe environment where mistakes are tolerated and experimental learning is encouraged. The authors explicitly note that such an environment is necessary, however, to foster appropriate risk-taking. At a time when creativity is becoming increasingly important in the workplace, the education system must also be aligned with these types of requirements. In order to enable creative action in the context of education, it is imperative that there is an acceptance that individuals may fail.
Breaking the Link Between Failure and Blame
Openness to failure is an essential prerequisite for curiosity — and without curiosity, there can be no innovation or breakthrough discovery.
While fault tolerance is desirable, it should not be taken too far. It is important not only to make mistakes, but also to learn from them. Harvard professor Amy C. Edmondson (2011) emphasizes that for this to happen, the (flawed) link between failure and blame must first be broken, as it cannot be assumed by default that individuals are always responsible for their own failures. Again and again, failure results from the complexity of the underlying situation or from acting under uncertainty. Taking this perspective into account can create an environment in which mistakes are dealt with openly and individuals or even entire organizations can learn from them. The goal should be to eliminate avoidable mistakes and to provoke intelligent mistakes, as they can generate valuable knowledge. Without the willingness to fail, there would be no innovation and we would find ourselves at a standstill. Organizations that aspire to be leaders in their industry should therefore invest in structures that encourage intelligent failure and extensive learning. This commitment to learning through adversity is central to building for permanence. Failure must be discovered early and analyzed in detail so that experimentation yields meaningful insights. However, many organizations are unable to create realistic scenarios and, for example, only test new products and/or services under ideal conditions, resulting in misleading recommendations.
The Concept of Productive Failure
A widely recognized approach that explicitly considers the importance of failure for learning is Manu Kapur's concept of productive failure. Here, Kapur (2016) distinguishes between different possibilities in terms of immediate performance and long-term learning success. He assumes that learning and performance are not always compatible and distinguishes between productive and unproductive outcomes. In the case of productive outcomes, whether it is a success or a failure, there is always a long-term learning effect, whereas this is absent in the case of unproductive outcomes. Therefore, in scenarios where the focus is on learning rather than short-term performance, it should not matter what the outcome is. The danger of a good outcome is that it creates the illusion of learning. However, the same problem exists here as with the link between decision and outcome: a positive outcome does not mean that the person in question has learned anything, nor that he or she has made a good decision. The specific outcome is influenced by many other factors. Productive failure, on the other hand, is characterized by the fact that although there is a poor performance outcome, which could superficially be called a failure, the person in question has a long-term learning success. Failure in this case simply means that the acting person does not or cannot arrive at the best possible outcome. Kapur argues that the strongest learning success occurs when new knowledge is linked to existing knowledge. This is not possible through methods of fully independent learning, nor is it possible through methods of fully guided learning. Instead, individuals should access scaffolding that provides adequate support to solve problems independently and learn from individual (and inevitable) failures.
Historical Examples of Failure Leading to Breakthroughs
The relationship between failure and eventual success is not merely theoretical. History is rich with examples of individuals and organizations whose greatest achievements were preceded by significant setbacks. Thomas Edison, famously, conducted thousands of unsuccessful experiments before developing a commercially viable electric light bulb. When asked about his failures, he reportedly replied that he had not failed but had simply found ten thousand ways that did not work. This reframing of failure as iterative progress rather than defeat captures the essence of productive failure in practice.
More recently, the technology industry offers instructive examples. James Dyson built over five thousand prototypes of his bagless vacuum cleaner before arriving at a design that worked. Each prototype that failed revealed specific design flaws and contributed to Dyson's understanding of the engineering principles involved. The final product was not the result of a single moment of inspiration, but the culmination of years of systematic failure and refinement. Similarly, the development of the Post-it Note at 3M originated from a failed attempt to create a super-strong adhesive. Spencer Silver's "weak" adhesive was considered a failure for years before Art Fry recognized its potential application as a repositionable bookmark. What was initially perceived as a mistake became one of the most successful consumer products in history.
When something works, there is little incentive to understand precisely why. When something fails, the investigation into the cause produces specific, actionable knowledge. This asymmetry between the informational value of success and failure is one of the strongest arguments for encouraging intelligent failure.
These examples illustrate a critical point: failure generates information that success often does not. When something works, there is frequently little incentive to understand precisely why it works. When something fails, however, the investigation into the cause of failure produces specific, actionable knowledge that can be applied to future attempts. This asymmetry between the informational value of success and failure is one of the strongest arguments for creating environments where intelligent failure is not only tolerated but actively encouraged.
The Neuroscience of Learning from Mistakes
Advances in neuroscience have shed additional light on why failure is such a powerful driver of learning. Research using functional magnetic resonance imaging (fMRI) has shown that the brain processes errors differently from correct responses. When an individual makes a mistake, there is increased activity in the anterior cingulate cortex and the prefrontal cortex -- regions associated with error detection, conflict monitoring, and executive function. This heightened neural activity represents the brain's attempt to understand what went wrong and to adjust future behavior accordingly.
Importantly, the extent to which the brain engages in this error-processing activity depends on the individual's mindset. Psychologist Carol Dweck's research on fixed versus growth mindsets has demonstrated that individuals who believe their abilities can be developed through effort and learning (a growth mindset) show greater neural engagement when processing errors compared to those who believe their abilities are fixed and unchangeable. In practical terms, this means that the attitude a person brings to failure significantly influences whether they will learn from it. Those who view failure as evidence of their inadequacy are less likely to engage deeply with the experience and extract useful lessons, while those who view failure as a natural part of the learning process are more likely to benefit from it.
This neuroscientific perspective reinforces Kapur's concept of productive failure. The brain is, in a very literal sense, wired to learn from mistakes -- but only when the conditions are right. Creating those conditions, whether in educational settings, organizational contexts, or personal development, requires deliberate effort and a willingness to challenge deeply ingrained assumptions about the meaning of failure.
Organizational Cultures That Embrace Failure
As described above, the current educational system is not designed to provoke intelligent failure and experimental learning. Individuals who value long-term learning success seem to face a difficult decision: should the focus be on the best possible performance or on maximizing learning success? However, the answer to this question is not possible in a generalized way, but always depends on the individual situation. Learning methods should always be tailored to one's own goals in order to demonstrate the highest probability of success. Individuals should always keep in mind that there is no shame in failing, but rather that it always comes with the opportunity to reflect and learn. It can be assumed that facing adversity can lead to the affected individuals being able to refer to past events at a later point in time and being able to transfer the knowledge gained from them onto a new kind of challenge. In addition, it is to be expected that (impending) failures also promote general skills (soft skills) that can have a positive impact on long-term success.
At the organizational level, the most innovative companies in the world have recognized the importance of creating cultures where failure is treated as a resource rather than a liability. Google's well-documented practice of allowing engineers to spend a portion of their time on experimental projects -- many of which will ultimately fail -- has produced some of the company's most successful products. Amazon's leadership principles explicitly state that leaders should be willing to make bold bets and accept that some will not pay off. Jeff Bezos has frequently emphasized that the company's willingness to fail is directly responsible for its capacity to innovate at scale.
However, building such a culture is not as simple as declaring that failure is acceptable. It requires structural support, including clear frameworks for distinguishing between thoughtful experimentation and negligent execution, mechanisms for capturing and disseminating lessons learned from failures, and leadership that models vulnerability by openly discussing their own mistakes. Edmondson's concept of "psychological safety" -- the belief that one will not be punished or humiliated for speaking up with ideas, questions, concerns, or mistakes -- is a foundational element of organizations that successfully learn from failure.
Building Personal Resilience Through Failure
Those who choose the path of continuous learning should be aware that personal development only works if they are honest with themselves. Experimental learning and the adaptation of knowledge presuppose that a certain amount of relevant knowledge is already available. Before attempting to master new challenges, it makes sense to evaluate whether sufficient knowledge is actually available or whether the basics are still lacking. If this hurdle is indeed overcome, investments can be made in the purposeful development of an environment that helps one approach the demanding challenges of the unknown. The supportive environment can consist of technical aids, knowledgeable individuals, a tolerant employer, and/or any other person who supports individual learning. Expertise alone is no longer sufficient to succeed in a profession, as nearly everyone has access to relevant information via the Internet. Adaptability, creativity, problem-solving and other soft skills are increasingly important for professional and personal success. However, they cannot be learned without individuals experimenting and failure is and always will be an essential part of this journey.
Beyond specific skills, the experience of failure builds a broader capacity known as resilience -- the ability to recover from setbacks and continue pursuing one's objectives. Resilience is not an innate trait that some people possess and others lack. Rather, it is developed through repeated exposure to adversity and the successful navigation of difficult circumstances. Each failure that is processed constructively strengthens an individual's confidence in their ability to handle future challenges. This accumulated confidence, sometimes called self-efficacy, has been shown in numerous psychological studies to be one of the strongest predictors of long-term achievement — a dynamic explored in depth in our analysis of how achievements shape future performance.
Practical strategies for building resilience through failure include maintaining a reflective practice such as journaling, seeking feedback from trusted mentors or peers, conducting structured post-mortems after significant setbacks, and deliberately placing oneself in situations that involve a meaningful risk of failure. The key is to approach failure not as something to be endured passively, but as an active learning opportunity that can be leveraged for growth. Individuals who develop this capacity early in their careers often find that they are better equipped to navigate the inevitable uncertainties and setbacks that accompany any ambitious endeavor.
The Difference Between Failing and Being a Failure
Views failure as a natural part of learning; shows greater neural engagement when processing errors; extracts lessons and adapts
Views failure as evidence of inadequacy; shows less brain activity during error processing; avoids challenges to prevent failure
One of the most important psychological distinctions in the discussion of failure is the difference between the act of failing and the identity of being a failure. When individuals conflate a specific unsuccessful outcome with their overall worth as a person, the experience of failure becomes debilitating rather than instructive. This conflation is especially common in cultures that emphasize individual achievement and personal responsibility, where success is viewed as a reflection of character and failure as a moral shortcoming.
Cognitive behavioral psychology offers useful frameworks for separating the event from the identity. The practice of cognitive reframing, for example, involves consciously reinterpreting a negative experience in a more balanced or constructive light. Instead of thinking "I failed, therefore I am inadequate," an individual can learn to think "I failed at this specific task, and now I have information that will help me perform better next time." This seemingly simple shift in perspective has profound implications for how individuals respond to setbacks and whether they are able to extract value from their experiences of failure.
Conclusion
Everyone will face challenges and encounter failure at some point in their lives. Failures do not have a direct positive or negative impact on one's life, but they do create situations that have the potential to do so. Those who learn from their mistakes have the opportunity to create a change that can have a positive impact on their own situation, relevant processes or entire structures. For some people, the comfort of the known is a safe haven they will not leave. For others, driven by curiosity, the unknown creates a stimulus that enables new discoveries. Only when these individuals exist can we experience breakthrough innovations that change and enrich our everyday lives. A prerequisite for this is an environment characterized by tolerance for intelligent failure and a fair assessment of the complex relationship between failure and blame.
The evidence from neuroscience, organizational behavior, and the lived experience of successful individuals converges on a single conclusion: failure, when approached with the right mindset and supported by the right environment, is not the opposite of success but rather one of its most reliable precursors. The organizations and individuals that will thrive in an increasingly complex and uncertain world are not those that avoid failure at all costs, but those that have learned to fail productively, reflect honestly, and apply the lessons of their setbacks to the pursuit of ever more ambitious goals.
Frequently Asked Questions
How does failure contribute to long-term success and personal development?
Failure generates specific, actionable knowledge that success often does not. When something fails, the investigation into the cause produces insights that can be applied to future attempts. Neuroscience confirms this: the brain processes errors through heightened activity in the anterior cingulate cortex and prefrontal cortex, representing active learning that correct responses do not trigger as strongly. Each failure processed constructively builds self-efficacy — the confidence in one's ability to handle future challenges — which is one of the strongest predictors of long-term achievement across all domains of performance.
What is productive failure and how does it differ from simply making mistakes?
Productive failure, developed by researcher Manu Kapur, distinguishes between outcomes where learning occurs and those where it does not. A productive failure produces poor immediate performance but generates long-term learning success — the individual does not arrive at the best outcome but gains valuable knowledge for future attempts. This differs from unproductive failure, where no learning occurs, and even from unproductive success, where a good outcome creates the illusion of learning without genuine understanding. The key is scaffolding that provides adequate support for independent problem-solving while allowing room for inevitable and instructive mistakes.
Why does the growth mindset matter for learning from failure?
Carol Dweck's research demonstrates that individuals with a growth mindset — believing their abilities can be developed through effort — show greater neural engagement when processing errors compared to those with a fixed mindset. In practical terms, people who view failure as evidence of inadequacy are less likely to engage deeply with the experience and extract useful lessons. Those who view failure as a natural part of learning are more likely to benefit from it. This neuroscientific finding means that the attitude a person brings to failure significantly determines whether they will learn from it, making mindset development a prerequisite for sustained improvement.
How can organizations create cultures that encourage intelligent failure?
Building a failure-tolerant culture requires more than declaration — it needs structural support. This includes clear frameworks distinguishing thoughtful experimentation from negligent execution, mechanisms for capturing and disseminating lessons learned, and leadership that models vulnerability by openly discussing mistakes. Amy Edmondson's concept of "psychological safety" — the belief that one will not be punished for speaking up with ideas, questions, or mistakes — is foundational. Companies like Google (allowing experimental projects) and Amazon (explicitly accepting that some bold bets will not pay off) demonstrate that systematic tolerance for failure directly enables innovation capacity.
What practical strategies help build personal resilience through failure?
Effective strategies include maintaining a reflective practice such as journaling to process setbacks, seeking feedback from trusted mentors and peer communities, conducting structured post-mortems after significant failures, and deliberately placing yourself in situations that involve meaningful risk of failure. The key is approaching failure as an active learning opportunity rather than something to be endured passively. Over time, each failure processed constructively strengthens confidence in handling future challenges, creating a compounding effect where resilience builds upon itself throughout a career.