{"title":"The Power of Experimentation","authors":"G. Hamel, Michele Zanini","doi":"10.1162/inov_a_00292","DOIUrl":null,"url":null,"abstract":"Organizations have long run experiments to test the appeal of new products, and in today’s digital economy, running speedy, low-cost experiments has never been easier. Firms like Alibaba, Facebook, and Google conduct tens of thousands of experiments each year, testing the impact of small changes to algorithms, user features, and web design. While each experiment may be small, the cumulative impact is not. For most companies, experimentation is not yet a deep and distributed capability. Here’s why. The vast majority of employees don’t have the latitude to launch and run small-scale experiments. In most organizations, the ability to design and run trials remains the province of specialists in R&D, data science, or product marketing. Even for employees in those functions, doing anything more than a narrow A/B test usually requires management approval. It’s not surprising that, in our survey of 10,000 Harvard Business Review readers, 61 percent of respondents from large companies said it’s “very difficult” for frontline employee to try something new when doing so requires a small team and a bit of seed funding. Another 34 percent said that bottom-up experiments are possible only THE POWER OF EXPERIMENTATION","PeriodicalId":422331,"journal":{"name":"Innovations: Technology, Governance, Globalization","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovations: Technology, Governance, Globalization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1162/inov_a_00292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Organizations have long run experiments to test the appeal of new products, and in today’s digital economy, running speedy, low-cost experiments has never been easier. Firms like Alibaba, Facebook, and Google conduct tens of thousands of experiments each year, testing the impact of small changes to algorithms, user features, and web design. While each experiment may be small, the cumulative impact is not. For most companies, experimentation is not yet a deep and distributed capability. Here’s why. The vast majority of employees don’t have the latitude to launch and run small-scale experiments. In most organizations, the ability to design and run trials remains the province of specialists in R&D, data science, or product marketing. Even for employees in those functions, doing anything more than a narrow A/B test usually requires management approval. It’s not surprising that, in our survey of 10,000 Harvard Business Review readers, 61 percent of respondents from large companies said it’s “very difficult” for frontline employee to try something new when doing so requires a small team and a bit of seed funding. Another 34 percent said that bottom-up experiments are possible only THE POWER OF EXPERIMENTATION
组织已经进行了长期的实验来测试新产品的吸引力,在今天的数字经济中,进行快速、低成本的实验从未如此容易。阿里巴巴、Facebook和谷歌等公司每年都会进行数万次实验,测试算法、用户功能和网页设计等微小变化的影响。虽然每个实验可能很小,但累积的影响却很大。对大多数公司来说,实验还不是一种深入和分散的能力。这是为什么。绝大多数员工没有足够的空间开展小规模实验。在大多数组织中,设计和运行试验的能力仍然是研发、数据科学或产品营销专家的领域。即使是那些职能部门的员工,做任何超出狭隘的a /B测试的事情通常也需要管理层的批准。我们对《哈佛商业评论》(Harvard Business Review)的1万名读者进行了调查,结果显示,61%来自大公司的受访者表示,一线员工尝试新事物“非常困难”,因为这样做需要一个小团队和一点种子资金。另有34%的人认为,只有实验的力量才能实现自下而上的实验