What are the two types of mistakes? How do they drive improvement for you personally and for an organization?
These types of mistakes are inadvertent mistakes and intentional mistakes. Understanding the differences and why you make these mistakes helps you to learn and grow from them.
Keep reading to explore these different types of mistakes.
Two Types of Mistakes
Syed defines two types of mistakes and distinguishes how each type of institution employs or responds to these mistakes.
Type #1: Inadvertent Mistakes
These types of mistakes occur when you’re aware of the correct answer but, through some accident or misstep, still make the error. For example, a football quarterback can mistime his pass and get sacked, even though he knows to avoid that.
Syed explains that inadvertent mistakes help us find and improve the flaws in existing systems. Consider how an inexperienced manager can inadvertently help develop a better team because his mistakes expose opportunities to improve.
(Shortform note: While these “human errors” are often understandable, it’s possible to reduce them and improve your operations. Often, we make more mistakes when we’re under a lot of stress or have to focus for long periods of time. After a while, our performance slips because it’s too hard to keep up an optimal effort. To overcome this, work in a rhythm of focused periods and rest periods. Josh Waitzkin recommends in The Art of Learning that you learn to fully relax, explaining that it rejuvenates you for your next effort.)
Type #2: Intentional Mistakes
These types of mistakes happen as part of an effort to develop solutions—if you don’t know the answer to a problem, Syed says, trial and error is a great way to find it. For example, car manufacturers have developed more efficient engines by iterating through their less efficient predecessors.
Intentional mistakes help us innovate creative solutions to tough problems. You’ll want to make these mistakes when you’re iterating a product idea, developing a theory, or navigating through thorny behavioral changes.
(Shortform note: The Harvard Business Review writes that “deliberate mistakes” can reveal assumptions in your models—for example, an advertising strategy you expect to fail might actually do well. By testing it (even though you anticipate failure and financial losses), you could discover a strategy that goes against your existing assumptions. This matters because we often seek only to confirm our existing ideas. By making deliberate mistakes, you prevent that confirmation bias.)
Although both types of mistakes are productive mistakes—regardless of why they were made, they provide opportunities to learn and improve—failure-averse organizations mainly make inadvertent mistakes and fail to learn from them. Because of this, they remain stagnant and continue to make the same errors. For example, a local political campaign that neglects a key voting demographic, despite repeatedly losing without their votes, will continue to err and lose.
On the other hand, learning-oriented organizations make both types of mistakes and learn from them. This enables them to improve their systems over time—for example, the rival political campaign may have noticed where they weren’t getting enough votes, given those areas attention, and done better the next time around.
(Shortform note: The structure of a learning-oriented organization is fundamentally different from that of a failure-averse organization in that the latter is optimized for performance rather than learning. The paradox is that learning organizations often perform better than those stuck on set performance goals—because if you continually strive for static goals, instead of learning and shifting your measures as you go, you might never reach them. If you or your organization tends toward static measures of performance, try introducing this learning mindset within a project you can lead: Focus the team on learning from mistakes, rather than achieving set goals.)
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Here's what you'll find in our full Black Box Thinking summary :
- How an organization’s culture and systems either promote or prevent learning
- The steps for learning from failure in our complex world
- How to shift mindsets around failure to promote a learning-oriented institution