2008-07-19

我们给学生们的Googley的建议

声明:本文来自Google Offical Blog,本人仅是心血来潮而翻译。

我们给学生们的Googley的建议:掌握学习的方法!
作者:Karen



  管理学大师彼得 德鲁克发现,那些能够吸引有着最好的知识的员工的公司能够在竞争中保持着最大的优势。我们和其他那些同样富有远见的公司一样都尽力去雇佣这样的人才,那么,我们最看中的是什么呢?

  从最大的程度来说,我们看中能以非常规的的方法解决问题的能力,我们希望申请者能够把
常规问题当作一个课题来解决。毕竟,那是绝大多数教育所关注的。但是,竞争中获得优势的机会常常蕴含于非常规问题中,解决这些问题需要创造性的思考和坚持不懈的精神。


  下面是一个真实的例子,我们的一个工程师团队曾经遇到过的一个挑战:

  为Google搜索引擎设计一个拼写检查功能,常规的解决方法可能是通过字典来处理请求,而创造性的非常规的解决方法是通过用户以前提交的请求内容来为新的用户发起的请求提供拼写建议。这个方法让我们可以修正字典里没有的关键词,进而帮助更多的用户(改善搜索体验)。

  我们是怎样找到这些非常规的解决者的呢?当然存在许多方面的因素,不过,我们首先注意的是:
  • 善于分析推理,Google是一个建立在数据分析处理之上的公司,当有问题提出的时候或者需要做出决定的的时候,我们首先从数据开始,这就意味着我们讨论我们知道的而不是我们认为我么知道的。
  • 沟通能力。只是列举和理解那些可用的证据不能祈祷什么作用,除非你能让你的同伴理解你的结论。
  • 热衷于实验,非常规问题需要非常规的解法,没有现成的公式能够帮你解决。一个设计的很好的实验需要一些列的处理,清晰的控制和细心的结果分析。有时一个实验结果能够推翻你喜欢的理论,所以,你需要能够接受那些结果,即使你不喜欢它。
  • 富有团队精神,事实上Google所有的项目都是有小团队进行的,队员们需要良好的团队协作能力,达到团队的期望。
  • 热情和领导能力,从专业的工作或者生活中:例如学习语言活保护森林,最主要的东西,用德鲁克先生的话来说,就是在你了解到你所做的有多么重要的思想下激励你的行动。

  这些特征不仅仅对于我们的事业很重要,而且对于所有事业都非常重要,包括政府、慈善部门和学术研究。我们充满希望的后辈面临的挑战是如何获得它们。教育常规人才很容易,但是教育创新人才相当困难。记住,技能要求是会变化:现在开发者用Python编写代码,而当我还是学生的时候,只有C是热门。但是,推理的需求却从未变化,所以我们相信必须学习极具挑战性的核心课程,比如数学、自然科学、人文科学。


  最后,记得一直挑战自我,因为学习不会因为你毕业而结束,事实上,在真实的世界里,虽然书后面不会印有那些棘手的问题的答案,但是所有的测试都是开卷的。你的成功决定于你从自由市场中获得的教训。学习已经被证实是一生的工作。



本文由Jonathan Rosenberg提交
Our Googley advice to students: Major in learning
Author:Karen


Management guru Peter Drucker noted that companies attracting the best knowledge workers will "secure the single biggest factor for competitive advantage." We and other forward-looking companies put a lot of effort into hiring such people. What are we looking for?

At the highest level, we are looking for non-routine problem-solving skills. We expect applicants to be able to solve routine problems as a matter of course. After all, that's what most education is concerned with. But the non-routine problems offer the opportunity to create competitive advantage, and solving those problems requires creative thought and tenacity.

Here's a real-life example, a challenge a team of our engineers once faced: designing a spell-checker for the Google search engine. The routine solution would be to run queries through a dictionary. The non-routine, creative solution is to use the query corrections and refinements that other users have made in the past to offer spelling suggestions for new queries. This approach enables us to correct all the words that aren't in the dictionary, helping many more users in the process.

How do we find these non-routine savants? There are many factors, of course, but we primarily look for ...

... analytical reasoning. Google is a data-driven, analytic company. When an issue arises or a decision needs to be made, we start with data. That means we can talk about what we know, instead of what we think we know.

... communication skills. Marshalling and understanding the available evidence isn't useful unless you can effectively communicate your conclusions.

... a willingness to experiment. Non-routine problems call for non-routine solutions and there is no formula for success. A well-designed experiment calls for a range of treatments, explicit control groups, and careful post-treatment analysis. Sometimes an experiment kills off a pet theory, so you need a willingness to accept the evidence even if you don't like it.

... team players. Virtually every project at Google is run by a small team. People need to work well together and perform up to the team's expectations.

... passion and leadership. This could be professional or in other life experiences: learning languages or saving forests, for example. The main thing, to paraphrase Mr. Drucker, is to be motivated by a sense of importance about what you do.

These characteristics are not just important in our business, but in every business, as well as in government, philanthropy, and academia. The challenge for the up-and-coming generation is how to acquire them. It's easy to educate for the routine, and hard to educate for the novel. Keep in mind that many required skills will change: developers today code in something called Python, but when I was in school C was all the rage. The need for reasoning, though, remains constant, so we believe in taking the most challenging courses in core disciplines: math, sciences, humanities.

And then keep on challenging yourself, because learning doesn't end with graduation. In fact, in the real world, while the answers to the odd-numbered problems are not in the back of the textbook, the tests are all open book, and your success is inexorably determined by the lessons you glean from the free market. Learning, it turns out, is a lifelong major.

Posted by Jonathan Rosenberg, Senior VP, Product Management

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