Practical A/B Testing: Creating Experimentation-Driven Products
Nassery, Leemay
- 出版商: Pragmatic Bookshelf
- 出版日期: 2023-06-27
- 定價: $1,280
- 售價: 9.5 折 $1,216
- 語言: 英文
- 頁數: 168
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798888650080
- ISBN-13: 9798888650080
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相關分類:
Data Science、產品經理、軟體工程
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商品描述
Whether you're a catalyst for organizational change or have the support you need to create an engineering culture that embraces A/B testing, this book will help you do it right. The step-by-step instructions will demystify the entire process, from constructing an A/B test to breaking down the decision factors to build an engineering platform. When you're ready to run the A/B test of your dreams, you'll have the perfect blueprint.
With smart, tactful approaches to orchestrating A/B testing on a product, you'll quickly discover how to reap all the benefits that A/B testing has to offer - benefits that span your users, your product, and your team. Take the reins today, and be the change you want to see in your engineering and product organizations.
Develop a hypothesis statement that's backed with metrics that demonstrate if your prediction for the experiment is correct. Build more inclusive products by leveraging audience segmentation strategies and ad-hoc post analysis to better understand the impact of changes on specific user groups. Determine which path is best for your team when deciding whether to go with a third-party A/B test framework or to build the A/B testing platform in-house. And finally, learn how to cultivate an experimentation-friendly culture within your team.
Leverage the A/B testing methodology to demonstrate the impact of changes on a product to your users, your key business metrics, and the way your team works together. After all, if you aren't measuring the impact of the changes you make, how will you know if you're truly making improvements?
商品描述(中文翻譯)
無論您是組織變革的催化劑,還是擁有所需的支持來創建一個擁抱A/B測試的工程文化,本書將幫助您正確執行。這本書提供了逐步指導,將整個過程從構建A/B測試到分解決策因素以建立工程平台的過程解密。當您準備好運行夢寐以求的A/B測試時,您將擁有完美的藍圖。
通過巧妙而謹慎的方法來組織產品的A/B測試,您將迅速發現如何獲得A/B測試所提供的所有好處-這些好處涵蓋了您的用戶、產品和團隊。立即掌握主導權,成為您希望在工程和產品組織中看到的變革。
通過支持數據指標的假設陳述,展示實驗預測是否正確。通過利用受眾分割策略和臨時後期分析來建立更具包容性的產品,以更好地了解變化對特定用戶群體的影響。在決定是選擇第三方A/B測試框架還是自行構建A/B測試平台時,確定對您的團隊來說哪條路徑最佳。最後,學習如何在團隊中培養一種友好於實驗的文化。
利用A/B測試方法來展示變化對產品、關鍵業務指標和團隊合作方式的影響。畢竟,如果您不測量所做變化的影響,又怎麼知道您是否真正取得了改進呢?