Eric Ries Quotes
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What if we found ourselves building something that nobody wanted? In that case what did it matter if we did it on time and on budget?
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The attributes for entrepreneurs cut both ways. You need the ability to ignore inconvenient facts and see the world as it should be and not as it is. This inspires people to take huge leaps of faith. But this blindness to facts can be a liability, too. The characteristics that help entrepreneurs succeed can also lead to their failure.
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We need to reengineer companies to focus on figuring out who the customer is, what's the market and what kind of product you should build.
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Start-ups make so many mistakes that the challenge to identify the root cause of a failure is tough. But believing in your own plan is probably the worst.
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In my first start-up, I had an initial advertising budget of $5 per day total. That would buy us 100 clicks per day. At $5 per day, marketing people scoffed and said that is too small to matter. But if you think about it, to an engineer, 100 real humans everyday giving your product a try means you can really start improving.
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If your goal is to make money, becoming an entrepreneur is a sucker's bet. Sure, some entrepreneurs make a lot of money, but if you calculate the amount of stress-inducing work and time it takes and multiply that by the low likelihood of success and eventual payoff, it is not a great way to get rich.
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The way forward is to learn to see every startup in any industry as a grand experiment.
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I bet the people who are in the auto industry right now have more than 10,000 good ideas about what might work and what we need to do is not come up with more good ideas. We need to go and test as many of those good ideas as possible.
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It was 1999, and we were building a way for college kids to create online profiles for the purpose of sharing... with employers. Oops. I vividly remember the moment I realized my company was going to fail. My co-founder and I were at our wits' end. By 2001, the dot-com bubble had burst, and we had spent all our money.
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Start-up success is not a consequence of good genes or being in the right place at the right time. Success can be engineered by following the right process, which means it can be learned, which means it can be taught.
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Most phenomenal startup teams create businesses that ultimately fail. Why? They built something that nobody wanted.
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If you can’t out iterate someone who is trying to copy you, you’re toast anyway.
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The hardest part is the grueling work of constantly being wrong.
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The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.
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The lesson of the MVP is that any additional work beyond what was required to start learning is waste, no matter how important it might have seemed at the time.
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There was a study done in the early 20th century of all the entrepreneurs who entered the automobile industry around the same time as Henry Ford; there were something like 500 automotive companies that got funded, had the internal combustion engine, had the technology, and had the vision. Sixty percent of them folded within a couple of years.
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You know how people always talk about how vision is the key to entrepreneurship and perseverance and really seeing what other people don't see? We can actually redeem a fair amount of that folk wisdom.
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Better to have bad news that's true than good news we made up.
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Science and vision are not opposites or even at odds. They need each other. I sometimes hear other startup folks say something along the lines of: 'If entrepreneurship was a science, then anyone could do it.' I'd like to point out that even science is a science, and still very few people can do it, let alone do it well.
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If the plan is to see what happens, a team is guaranteed to succeed - at seeing what happens - but won't necessarily gain validated learning - If you cannot fail, you cannot learn.
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A pivot is a change in strategy without a change in vision.
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In the industrial world we have the problem of having more productive capacity than we know what to do with. That's at the root of the unemployment crisis: we've got so productive at making things, we don't require people to be involved in making the basics of life any more. Or nearly as many people.
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This is one of the most important lessons of the scientific method: if you cannot fail, you cannot learn.
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By the time that product is ready to be distributed widely, it will already have established customers.