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Growth Engineering - by  Rita Okonkwo (Paperback) - 1 of 1

Growth Engineering - by Rita Okonkwo (Paperback)

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Highlights

  • 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.
  • About the Author: RITA OKONKWO is a software engineer specializing in growth systems.
  • 208 Pages
  • Computers + Internet, Artificial Intelligence

Description



Book Synopsis



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.



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 instru-mentation, 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 OKONKWO is 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.

Dimensions (Overall): 9.2 Inches (H) x 7.43 Inches (W) x .43 Inches (D)
Weight: .67 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 208
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Publisher: Wiley
Format: Paperback
Author: Rita Okonkwo
Language: English
Street Date: April 21, 2026
TCIN: 1007843549
UPC: 9781394378463
Item Number (DPCI): 247-41-6038
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.43 inches length x 7.43 inches width x 9.2 inches height
Estimated ship weight: 0.67 pounds
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Q: How does the author contribute to the topic?

submitted by AI Shopping Assistant - 2 months ago
  • A: Rita Okonkwo leverages her experience from Microsoft's Growth team to provide insights into building scalable tech products.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: What practical applications are included in the book?

submitted by AI Shopping Assistant - 2 months ago
  • A: The book includes real-world case studies and actionable techniques for rapid iteration and data-driven decision-making.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: Who is the target audience for this book?

submitted by AI Shopping Assistant - 2 months ago
  • A: The book is aimed at software engineers, product managers, developers, and technology business leaders.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 2 months ago
  • A: The book focuses on growth-oriented software development strategies that lead to product success in an AI-driven environment.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: What key strategies does the book discuss?

submitted by AI Shopping Assistant - 2 months ago
  • A: It discusses strategies like experimentation frameworks, metrics tracking, feature flighting, and creating a growth-first engineering culture.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

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