Book

My Book: Prove It Or Lose It

It’s a concise book (we’re all busy—I get it) that you can read on a train ride from Toronto to Montreal. With contributions and advice from 17 CRO veterans from around the world, you’re bound to learn something. Here are some of the contributors:

  • Ana Catarina
  • Claire More
  • Eddie Aguilar
  • Ellie Hughes
  • Gintarė Forshaw
  • Juliana Amorim
  • Juliana Jackson
  • Kay del Rosario
  • Khalil Guliwala
  • Lucas Vos
  • Nathan Pedrozo
  • Sam Barber
  • Shiva Manjunath
  • Tim Thijsse
  • Ton Wesseling
  • Tracy Laranjo
  • Will Feng

Here are some early reviews:

“This book is a raw cut of experimentation, with tangible takeaways to action TODAY. It’s a book chock full of tactics you can take to build and foster a culture of experimentation and optimize your optimization program.”

— Shiva Manjunath
       Host of the From A to B Podcast

“Prove it or Lose it” is an essential read for anyone looking to scale and embed experimentation within their organization. Rommil Santiago dives deep into the organizational and political challenges that often determine success. With over 20 years of experience in experience optimization, I recognize the power of the practical strategies in this book—helping teams gain buy-in, overcome resistance, and build a true culture of experimentation. A must-have for anyone serious about data-driven growth.”

— Tim Thijsse
Experience Optimization Specialist

Here’s are the forewards from Ton Wesseling and Khalil Guliwala:


Prevent your Experimentation Program from being cut!

Are you ready to prove the value of your Experimentation Program? In this actionable guide, Rommil Santiago distills over 15 years of experience and shares all you need to know to survive managing an Experimentation Program. Inside, you’ll learn:

  • The GROW framework for communicating value effectively 
  • Strategies to win over stakeholders 
  • How to build a brand for your program that lasts

Prove It or Lose Itis laser-focused on delivering only the actionable advice you need. Your Experimentation Program is only as strong as the value you can demonstrate. Are you ready to Prove It?

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