Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World

Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World book cover

Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World

Author(s): Rita Okonkwo (Author)

  • Publisher finelybook 出版社: Wiley
  • Publication Date 出版日期: April 21, 2026
  • Edition 版本: 1st
  • Language 语言: English
  • Print length 页数: 208 pages
  • ISBN-10: 1394378467
  • ISBN-13: 9781394378463

Book Description

Build software that users actually use with proven growth-oriented software development strategies

In Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World, experienced software engineer with the Microsoft Experiences + Devices Growth team, Rita Okonkwo, delivers a strategic guide for anyone interested in building tech products that scale organically through smart technical choices.

You’ll learn how clean architecture, thoughtful instrumentation, and experimentation frameworks directly influence growth outcomes. With a focus on practical systems and real-world decision-making, this book shows how to build software that gains traction, drives engagement, and supports continuous iteration.

You’ll learn all about key growth engineering strategies like feature flighting, data-driven experimentation, logging, and metrics tracking. You’ll find real-world case studies that break down design systems that support rapid iteration, and data-based product decision-making.

Inside the book:

  • Why growth engineering matters and how engineers can get directly involved in it
  • Experimentation strategies, including controlled rollouts and effective A/B testing techniques
  • How to build scalable data pipelines and integrate real-time analytics
  • Ways to create a growth-first engineering culture, generating faster iterations without sacrificing quality

Perfect for software engineers, product managers, and developers interested in building products that users love, Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World is a must-read for entrepreneurs, founders, and other technology business leaders ready to discover how to consistently create commercially successful software.

Editorial Reviews

Editorial Reviews

From the Back Cover

BUILD SOFTWARE THAT REAL-WORLD CUSTOMERS LOVE TO USE WITH PROVEN, GROWTH-FIRST ENGINEERING STRATEGIES

In Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World, software engineer, Rita Okonkwo, offers a modern, practical guide for anyone building products that need to thrive in real-world marketplaces.

Okonkwo explains how to use clean architectures, thoughtful instrumentation, and Drawing from hands-on experience designing growth systems in large-scale environments, Okonkwo explains how to use clean architectures, thoughtful instru­mentation, and experimentation frameworks to drive meaningful, sustainable product growth. She demonstrates how to build software that gains traction, fuels engagement, and supports continuous iteration using proven strategies―feature flighting, data-driven experimentation, logging, metrics, controlled rollouts, scalable data pipelines, real-time analytics, and more.

Through practical examples and case studies, she shows how to break down complex systems, ship improvements quickly, and make confident product decisions grounded in data.

Packed with actionable techniques for engineers and product leaders who want to create a growth-first engineering culture, Growth Engineering is a must-read for software engineers, product managers, developers, entrepreneurs, and founders―anyone committed to creating commercially successful software that customers love.

About the Author

RITA OKONKWOis a software engineer specializing in growth systems. She works in Microsoft’s Experiences + Devices organization, where she focuses on experimentation, intelligence, and scalable growth infrastructure. She combines academic insight with real-world engineering experience to bridge the gap between technical systems and product strategy.

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