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

Price: $63.00 - $54.80
(as of Aug 06, 2026 13:54:22 UTC – Details)

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 itExperimentation strategies, including controlled rollouts and effective A/B testing techniquesHow to build scalable data pipelines and integrate real-time analyticsWays 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.

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Science, Tech, and Engineering

Science, Tech, and Engineering

Science, Tech, and Engineering

Science, Tech, and Engineering

Science, Tech, and Engineering

Publisher ‏ : ‎ Wiley
Publication date ‏ : ‎ April 21, 2026
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 208 pages
ISBN-10 ‏ : ‎ 1394378467
ISBN-13 ‏ : ‎ 978-1394378463
Item Weight ‏ : ‎ 13.7 ounces
Dimensions ‏ : ‎ 7.3 x 0.6 x 9.1 inches
Best Sellers Rank: #4,010,714 in Books (See Top 100 in Books) #1,342 in Computer Systems Analysis & Design (Books) #1,962 in Software Testing #4,493 in Artificial Intelligence (Books)