Learn how to use data to build
and grow products
This is not an ordinary online course. Meet the first simulator that teaches you how to use data to navigate the challenges of building a breakout growth product.
Get hands-on experience working on an ambitious product and running queries on real data in an analytics system to make difficult decisions. You’ll learn to think about growth and act based on data like the most successful product, data and growth professionals.
This course will help you take your career to the next level.
How it works
This is not an ordinary course. It’s a simulator for the workflow in a product company.
What it looks like
The simulator is built like a game. It is based on the real-world types of scenarios experienced every day by top product managers and growth professionals. Each chapter is a sequence of product and growth tasks, interwoven with theory adapted according to your progress and your answers to given assignments. You’ll use analytics systems, communicate with characters and experience several plot twists.
Real data in analytics systems
In order to make informed decisions, you will be trained to ask the right questions and find answers via real data queries in Amplitude (a leading analytics solution). You’ll learn to complement these quantitative insights with the type of qualitative analysis that can give you a true understanding of how and why your product is resonating with target customers.
Practice comes first
The Simulator is based on real-life situations and follows the principle: practice comes first. You will solve problems, and then receive personalized guidance from Oleg and Sean based on your answers, which will help you structure your experience and knowledge in growth and product management. You will gain experience building a product, validating that it is valuable for a meaningful market, and ultimately driving sustainable growth.
You will start as an analyst and climb up the career ladder to become a Chief Product Officer of a software startup, hitting all the bumps on the road. This format of training will keep you engaged and excited throughout the entire course.
Based on true stories
The story in the Simulator is fictional, but all the situations correspond to real situations. You will learn to recognize and solve typical product problems, while avoiding the costs of real-life mistakes.
Better than real world experience
We consistently receive feedback from even the most seasoned professionals that they wish this course had been available earlier in their careers. Decades of learning are condensed into weeks with GoPractice. And unlike traditional experience that rarely gives you feedback on your decisions, this simulation gives you direct guidance from Sean and Oleg as you make important product and growth decisions.
Dozens of case studies
During the course, you will see many real case studies of well-known companies, which will help you grasp the idea of how the presented concepts worked in other products.
Learning process example
Who may find
Growth practitioners, product managers and others currently working on digital products
Learn to organize your knowledge, upgrade your skills to the next level, and accelerate the growth of your company and your career.
Entrepreneurs, team leads and product teams
Learn to implement a culture of data-driven decision making. Start taking a deeper and more thorough look at your product and business. Develop a systematic approach to think about, act on, and solve growth problems.
Professionals who want to start their career in product management but have no relevant experience
Get started and observe the overall process of creating a digital product. Start from the basics and gradually develop your skills to acquire a product manager or analyst position.
What you get
Loved by students
at top companies
What can I expect once I finish the course?
All of the exercises in Simulator are based on real-life situations. Thus you will immediately be able to apply your newly gained knowledge to your job. During the course, you will also develop a data-driven mindset, which come in handy in tasks beyond product management.
What if I start Simulator and don’t like it?
We are confident of the quality of our product. We guarantee your money back within the first week after starting the course if you don’t like it.
When can I start training?
You can start right after you make your purchase. This is an online course so you can learn at your own pace.
When do we have classes?
It’s up to you. The Simulator is designed as a game - so choose a speed that suits you.
What is the process like?
While following the script of the training, you will be completing tasks, making decisions, working with data, communicating with the characters, and studying the theory of analyzing product data. You’ll find more details on the learning process above.
Who grades the exercises?
Most of the exercises are multiple-choice tests graded automatically. There are some open-ended questions with correct answers provided, and you will grade your answer yourself. Based on your answers, you get relevant feedback and instructions.
How long do I have access to the course?
For as long as you want it. You can always come back to the chapters to revise the material in case you need to.
Can I ask questions?
Of course, you can. If you decide to purchase the course under the basic plan, feel free to ask questions in our closed Facebook group and get help from other students and Simulator support members. If you purchase the premium option, you can ask questions directly from the creators of the Simulator.
What’s the time commitment?
If you spend one hour a day, it will take you about 1-1.5 months to complete the course. However, you can set your own pace to fit your schedule.
How advanced is the material?
Simulator is not a piece of cake. However it is both exciting and effective. If you can think logically (most people can) and know how to use an Excel spreadsheet, then you have what it takes to get started. If you are more experienced in data analysis and product management, going through the course will be easier but no less fun.
Why is the training built on the Amplitude analytics system?
This is the most visual and simple way to work with data. It's the easiest way to show how data can be helpful in product development. Later you can master SQL, Python or other tools and skills to work with data—once you get the hang of it, choosing the right tool and data will become much easier. Amplitude also offers a generous free plan so you will likely be able to implement it at your company to apply your new analytics skills.
Why is it more efficient than other courses?
Simulator is not about tips and hacks. It is about frameworks and strategies you can apply in your current or future work. Most other online data-related courses are based on lectures and homework that is never done. They can be interesting, but they are not helpful in obtaining real skills, with real data and hands-on experience.
Who are your students?
The course alumni come from different backgrounds, companies and experience: there are people from the industry who want to switch to product management, product leads who want to develop a data-driven mindset or people who are in another field and want to transition to product management.
The study plan
You are applying for a job in a startup aspiring to build a billion-dollar business. Will it work out or not? It's all up to you.
You will learn about the basic metrics, the difference between correlation and causation, percentages and percentage points, arithmetic mean and median.
How Google Chrome took over the browser market
A brief overview of the history of the browser wars. A good analogy to what your new company wants to achieve
Soft launch and introduction into metrics
The first task from a Chief Product Officer. You will deal with the analytics system Amplitude, calculate the basic metrics of the app and make the first conclusions about the product and its potential.
Analysis of the market and the competitors
While everyone is preparing for the launch, you have time to study the market using publicly available data. You will also evaluate the audience and downloads of competitor apps and learn to visualize data.
Big day for the company - the public launch of the product!
Launch results and an old friend
Time to evaluate the results of the launch and the impact on key metrics. Is it good or bad?
You will understand the nuances of retention metrics and how it is calculated in Amplitude. You will get the idea of how retention, new users, and active audience are connected. You will create a model for predicting the audience to assess how changes to key metrics impact growth.
Product metrics and growth metrics
You will find out more about different kinds of metrics, and what they’re used for. You will also get information on retention rates for different product categories.
Cohort analysis - the basis of product analytics
You will use the cohort analysis and the funnel tool in Amplitude to understand how the changes made in the latest version of the product have affected the key metrics.
To compare the metrics of the two versions of the product, it is not enough to calculate them. You must verify whether the change is statistically significant or not. You will learn to apply mathematical formulas to draw relevant conclusions while comparing metrics.
Evaluation of new feature potential
Your manager tells you about a new feature, which will be developed soon. You decide to take the initiative and evaluate its potential effect and usage, and to do so you create a product model to evaluate conversions of the key steps in the funnel.
Value hypothesis and product model
You will learn what value hypothesis is. Then you will formulate it and build a product model to better understand the product and how it actually works.
CEO notices something weird
Sunday morning begins with an unexpected email from the CEO of the company. What's the matter?
You will learn the difference between hypotheses and facts and check your product spider sense, predicting the results of real experiments. You will learn to design experiments and interpret their results. You will formulate an important hypothesis, check it and get unexpected results.
"Why so?" or qualitative user research methods
Unexpected results of the experiment has caught the confused team in a bind. But you will find a way out by applying qualitative user research methods (interviews, surveys, etc.).
The story behind the Wechat messenger
Time for one more educational story, uncovering WeChat’s path to dominating the Chinese messaging app market. This chapter will help you look at the product and things happening to it from a different angle.
Where do users find value? How is the product used?
You will learn how to apply a number of frameworks to find the hidden value of a product. You will observe something unexpected—or maybe not. It’s all up to you, remember?
Building your product on the basis of the value found
You will use the insights from the previous chapter to change the product. And who knows where this will lead you?
Checking the riskiest hypothesis
You will have to step into leader's shoes and make tough choices. At the same time, you will understand why it’s so important to manage product risks as early as possible.
You will explore the second key hypothesis while creating a product. You will guess the key distribution channels for well-known services and prioritize the growth hypothesis for the product.
ROI or Return On Investment
It's time to deal with marketing analytics. It's simple. It is enough to study the details of the ROI metric and learn how to apply cohort analysis to this task.
The product is improving, but to make this process meaningful, you need to understand the target market e.g. who are your users, who are the competitors, what is the market's dynamics.
Buying ad traffic
The team begins testing paid traffic acquisition. You will understand how advertising networks work. You will also analyze a number of test ad campaigns, as well as assess the potential for product monetization, deciding whether to invest in a channel or not.
ASO (App Store Search Optimization)
You will have to create a semantic core for the product, and estimate the amount of potential traffic and competition.
Leap of faith
Despite the progress in many areas, you are far from the goal. The situation is complicated by the fact that the company is running low on cash. To get the next round of investment, you need to change something. You have to use all the accumulated knowledge about the product to make a tough decision.
The decision you made leads to unexpected results. You have to conduct an investigation using all the skills you have mastered. Who knows where it may take you.
Resolution of the story. Repetition and consolidation of all the skills and knowledge gained in the training process.
Still have questions?
Email us at email@example.com or via the messenger plug-in located at the bottom right, and we will respond as soon as possible.