It takes a Flywheel to Fly: Kickstarting and Growing the A/B testing Momentum at Scale

Aleksander Fabijan, Benjamin Arai, Pavel A. Dmitriev, Lukas Vermeer
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引用次数: 7

Abstract

Companies run A/B tests to accelerate innovation and make informed data-driven decisions. At Microsoft alone, over twenty thousand A/B tests are ran each year helping decide which features maximize user value. Not all teams and companies succeed in establishing and growing their A/B testing programs. In this paper, we explore multiple-case studies at Microsoft, Outreach, Booking.com, and empirical data collected, and share our learnings for iteratively adopting and growing A/B testing. The main contribution of this paper is the A/B Testing Flywheel. This conceptual model illustrates iteratively navigating the value-investment cycle with the goal to scale A/B testing. In every turn of the flywheel, teams need to invest in order to increase the A/B testing momentum. We describe the investments in software development processes that have been advantageous in getting the flywheel to turn. We also share example metrics that track the progress towards sustainable A/B testing momentum.
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需要飞轮才能飞起来:大规模启动和发展a /B测试势头
公司运行A/B测试来加速创新并做出明智的数据驱动决策。仅在微软,每年就会进行超过2万次的A/B测试,以帮助决定哪些功能能最大限度地提高用户价值。并不是所有的团队和公司都能成功地建立和发展他们的A/B测试程序。在本文中,我们探讨了微软、Outreach、Booking.com的多个案例研究,以及收集到的经验数据,并分享了我们对迭代采用和发展A/B测试的经验。本文的主要贡献是A/B测试飞轮。这个概念模型演示了迭代地导航价值投资周期,目标是扩展A/B测试。在飞轮的每一个回合中,团队都需要投资以增加A/B测试的动力。我们描述了在软件开发过程中的投资,这些投资在使飞轮转动方面是有利的。我们还分享了跟踪可持续A/B测试势头进展的示例指标。
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