In 2019, together with Sean Ellis, we launched Simulator for Learning Data-Driven Product Management.

It helped thousands of professionals to learn how to use data to build products. In other words, to go from 0 to 1.

Today we are launching the Product Growth Simulator.

It is designed to help you scale products that have already proved their value. In other words, go from 1 to N.

Where it all started

For a significant part of my career, I have been creating new products from scratch.

This experience became the foundation of the first simulator we built with Sean Ellis.

It focused on how data and research help turn new ideas into successful products (going from 0 to 1).

It is the path from 0 to 1 that has always been the most interesting part of product work for me.

I thought that once the team manages to create value and find effective growth channels, the rest is all about some boring optimizations: testing new acquisition channels, optimizing key user flows and funnels.

But I was wrong.

1 to N

Over the last years, a significant part of my work was within the 1 to N phase.

I worked on scaling Workplace from Facebook from its launch to millions of paying customers. I helped grow the e-commerce marketplace Joom to tens of millions of users. And Iast but not least, I was working on making GoPractice grow.

This experience allowed me to take a fresh look.

It turned out that the challenges on the way from 1 to N are much more complicated, and more interesting than I thought.

I realized that most of the value for both users and shareholders is created on the path from 1 to N.

At the same time, It is at this stage where many teams have a false sense of limitless opportunities, which makes them lose focus and start doing everything at the same time.

The cost of error at this stage becomes extremely high.

Learning product growth

So I began to delve deeper into the topic of product growth.

But it turned out that there are very few high-quality books or educational programs about this.

And the ones that I managed to find were either too general, or high-level, or completely superficial and even harmful in certain cases.

But I got lucky.

First of all, I have worked at Meta for a long time, where, although people are not very good at creating new products from scratch, but are exceptionally bright at scaling the products with a validated value (such as WhatsApp, Instagram, and Stories).

Secondly, I had the opportunity to conduct a lot of experiments myself—both successful and failed ones.

Thirdly, I had access to professional practitioners who solve similar problems in the best companies in the world and are ready to share their expertise and meditate on their cases.

And finally, I had Sean Ellis at my side as my business partner, who is the most renowned expert in this area.

Gradually, this experience began to reveal typical situations, problems, and misconceptions on the way from 1 to N.

This was the trigger that led me and Sean to start working on a new simulator.

Product Growth Simulator

The new simulator starts where the last one ends. You will get in charge of a product with proven value but struggling with growth.

The main focus of the course will be building a growth engine that will provide the product with a predictable way to achieve its goals.

The purpose of the “Product Growth Simulator” is to teach you a framework for product growth. This framework will help you identify growth opportunities, limitations, and challenges, as well as select the tools to solve them.

You can read more about the new simulator and start learning at this link:

If you would like to discuss enrolling your company employees, please contact us at

Special offer for the first students

I will be happy to guarantee to refund 30% of the course to the first 25 students who finish it, share their certificate and thoughts on their LinkedIn page and let us know about it via


We put everything we know into this product.

Over the last few years, we have tested the simulator on specialists and teams from different industries, and we are sure that it will bring a lot of value to the community.

I will be grateful if you can help me spread the word about the new simulator. Thank you!

On the day of the official launch, I would like to thank the people who worked on this simulator with me:

  • Sean Ellis
  • Eugene Zhulkov
  • Ben Dickson
  • Nataliya Vorobyeva
  • Mika Stetsovski

I would also like to express my gratitude to the beta-students, whose feedback helped to make this product better and more efficient:

  • Nayeli Cortina
  • Alex Gavrilov
  • Jean-Christophe Rodrigue
  • Lucas Larbodiere
  • Jerimiah Mertz
  • and the rest of amazing contributors.