Category posts
Professions and skills
Oleg Ya
Finding insights and answers to questions in data is a key skill in product analytics. And developing this skill is the area where analysts usually see their growth potential.
Talking from experience, I strongly recommend paying attention to another aspect of analytical work: communication skills. Key here is not only finding insights, but also turning them into projects and making sure they convert into real value for users.
Getting to this point requires building relationships with the team, participating in key discussions, gaining credibility, and learning to present information in an effective way.
This article provides a series of recommendations for product analysts. However, it will be equally useful for product managers and executives who want to maximize the impact of analysts working in their teams.
Test your product management and data skills with this free Growth Skills Assessment Test.
Learn data-driven product management in Simulator by GoPractice.

Oleg Ya
When I worked at Facebook, the Workplace analytics team had a cool tradition: The team’s weekly meetings always started with a small data quiz.
The winner of the previous week’s competition would prepare a question about the product’s key metrics. For example, “what was last month’s MAU?” or “how many new users joined last week?” or “what proportion of the new companies reach 10 users?” or “what was last month’s revenue?” The question had one requirement: Its answer had to be found on the team’s dashboard.
The participants were to write down the answer without getting help from computers, which meant we could only use our memory to do so. The person whose answer was closest to the correct number got +1 point in the chart, and the person who was the farthest lost 1 point. Every six months, a winner was chosen and the game started again.
I participated in five seasons and won three of them. In one of the final rounds, I was tied with another analyst. The team arranged the final round, where we had to answer five questions in a blitz quiz. I managed to score the winning point and won the mug that you see in the photo below.
I told this story not because I wanted to brag about winning the quiz (well, this too, to be honest). In almost every quiz, the respondents’ guesses on metrics were distributed across a wide range, which I found surprising.
Why? Well, first of all, it was the analysts who played the game. They were the people who worked with data most of their time and should have been good at navigating it. Second, these analysts were working at Facebook, a company that has a very advanced and strong data culture. At Facebook, each team has clear goals, dashboards are available to all the company’s employees, and all meetings start with progress updates on key metrics. How could these people be so wrong in answering questions about the product they were working on?
If you decide to play this game with your company’s employees, you will most likely be as surprised as I was. It will turn out that most people have very vague ideas about the key metrics of your product and business. And some people will have no idea at all.
In this essay, we will discuss why it is important for team members to remember at least approximate values of the key product metrics, why this usually doesn’t happen, and how to get there.
Test your product management and data skills with this free Growth Skills Assessment Test.
Learn data-driven product management in Simulator by GoPractice.

Editorial

In this blog post, we will look at professionals who switched from marketing to product management and what they learned on this journey.
Our partner Sean Ellis made a poll on LinkedIn to find out more about people’s experience in switching to product management. From this survey, we learned that most people came to product management from marketing, which turned out to be a great starting point.
(more…)Editorial
Data is at the heart of product management: from forming and validating hypotheses to designing and running experiments to measuring the impact of product changes and understanding the market dynamics.
To find out more about the different aspects of data skills in product management, we spoke to experienced product managers from different companies and industries. Their comments will give you a good understanding of the following:
- What data skills are important for product managers and why?
- How do companies evaluate the data skills of people they want to hire for a PM position?
- How can you improve your data skills?
Test your product management and data skills with this free Growth Skills Assessment Test.
Learn data-driven product management in Simulator by GoPractice.

Oleg Ya

Some believe that a product manager’s job is to formulate and prioritize hypotheses, and then turn them into knowledge through A/B tests and research.
Others think that a product manager’s role is to be a user advocate, make features, and improve product metrics.
And then there are those who see the product manager as the person who manages the roadmap, motivates the team, improves the unit economics, optimizes key funnel conversions, and is responsible for the product’s revenue.
In reality, depending on the team, product managers do some or all of the above.
But these are only tools that should help achieve the most important goal, a goal that product managers often forget.
(more…)Test your product management and data skills with this free Growth Skills Assessment Test.
Learn data-driven product management in Simulator by GoPractice.
Oleg Ya

This is part of a series of articles on the basics of product management and building products that people need.
In this article, we discuss the “growth product manager” role, how and when it appeared, and how it differs from the roles of marketing managers and core product managers. We will also examine the main tools that growth product managers use.
As the product manager profession matured, it began to specialize into different areas. We previously discussed that one of these areas is the task that the product accomplishes. In this respect, the product manager of a B2B task tracker and that of a casual mobile game have very different skill sets.
Another dimension of specialization is the type of product work that the product manager focuses on: Does the PM work on creating value or delivering it to users? It is across this line that core PM and growth PM separate.
(more…)Test your product management and data skills with this free Growth Skills Assessment Test.
Learn data-driven product management in Simulator by GoPractice.
Other content series
that you might find useful
- Reading between the lines: what Slack didn’t disclose in its IPO filing
- We launched an app with $500,000 annual run rate—and then Apple killed it and launched a similar feature
- To reduce your product’s churn rate, first find out why users stay
- ASO optimization in practice: how a game I made over the weekend amassed 2 million downloads
- Analytics without numbers: viewing products through users’ eyes
- Looking for spikes. How to increase the effectiveness of your dashboard
- Rolling retention, Day N retention, and the many facets of the retention metric
- How to estimate the revenue, downloads and audience of a competitor’s app?
- This little-noticed change in iOS 13 can put an end to Calm’s 1B valuation and make the App Store better
- How game developers can leverage the hidden potential of their data
- Slack vs Teams vs Workplace: the intriguing dynamics of the work messenger market
- How the “Slack vs Microsoft Teams” race evolves as the world switches to remote work
- How Revolut Trading was built. The importance of industry expertise and the balance of conservative and new approaches
- The values and principles of Wise. Key ideas from the Breakout Growth Podcast by Sean Ellis
- How to move from marketing to product management?
- Key data skills for product managers: experienced PMs sharing their thoughts
- Data mistakes to know and avoid as a product manager: experienced PMs sharing their thoughts
- Data cherry-picking to support your hypothesis. What is it? Why is it bad?
- How can PMs encourage more teammates to use data?
- To reduce your product’s churn rate, first find out why users stay
- How to estimate the revenue, downloads and audience of a competitor’s app?
- What is product/market fit and how to measure PMF
- How engagement metrics can be misleading
- How to forecast key product metrics through cohort analysis
- Cohort analysis. Product metrics vs growth metrics
- Addressing user pain points vs solving user problems better
- Product manager skills: evolution of a PM role and its transformation
- Product metrics, growth metrics, and added value metrics
- Customer retention levers: task frequency and added value
- How to measure the added value of a product
- Should a product be 10 times better to achieve product/market fit?
- Product/market fit can be weak or strong and can change over time
- Two types of product work: creating value and delivering value
- What is the difference between growth product manager, marketing manager, and core PM
- How to increase the effectiveness of your product analysts
- Why every team member should know the key product metrics
- How to move from marketing to product management?
- Key data skills for product managers: experienced PMs sharing their thoughts
- Product manager skills: evolution of a PM role and its transformation
- What is the difference between growth product manager, marketing manager, and core PM
- Reading between the lines: what Slack didn’t disclose in its IPO filing
- We launched an app with $500,000 annual run rate—and then Apple killed it and launched a similar feature
- To reduce your product’s churn rate, first find out why users stay
- ASO optimization in practice: how a game I made over the weekend amassed 2 million downloads
- Analytics without numbers: viewing products through users’ eyes
- Looking for spikes. How to increase the effectiveness of your dashboard
- Rolling retention, Day N retention, and the many facets of the retention metric
- How to estimate the revenue, downloads and audience of a competitor’s app?
- This little-noticed change in iOS 13 can put an end to Calm’s 1B valuation and make the App Store better
- How game developers can leverage the hidden potential of their data
- How to calculate customer Lifetime Value. The do’s and don’ts of LTV calculation
- How to calculate unit economics for your business
- Guide to ARPU: formula, calculation example, LTV vs ARPU
- Experiments where you make your product worse – the most underrated product manager tool
- Why your A/B tests take longer than they should
- Peeking problem – the fatal mistake in A/B testing and experimentation
- Mistakes in A/B testing: guide to failing the right way
- Designing product experiments: template and examples