Series
Data and analytics
Data is essential for every product. These essays will help you improve your skills in analytics and avoid data mistakes.
Designing product experiments: template and examples
What product managers must know about percentages, percentage points, and percentiles
Arithmetic mean and median for product managers
Using data for strategic decisions
The downsides of a data-driven culture
Correlation and causation: how to tell the difference and why it matters for products
Using data to understand competitive and market dynamics
Data-driven, data-informed, and data-inspired product decisions. What are the differences and when should you use each one?
Quantitative vs qualitative data: what is the difference and when should you use one instead of the other
How can PMs encourage more teammates to use data?
Data cherry-picking to support your hypothesis. What is it? Why is it bad?
Data mistakes to know and avoid as a product manager
Mistakes in A/B testing: guide to failing the right way
Peeking problem—the fatal mistake in A/B testing and experimentation
Why your A/B tests take longer than they should
Experiments where you make your product worse—the most underrated product manager tool
Setting up event tracking for a mobile app
How game developers can leverage the hidden potential of their data
Looking for spikes. How to increase the effectiveness of your dashboard
Other content series
that you might find useful
Product management fundamentals
How to create products that people need
- 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
User activation
The path to understanding the product value
- When user activation matters and you should focus on it
- User activation is one of the key levers for product growth
- The dos and don’ts of measuring user activation
Product success stories
What makes great products great?
- The values and principles of Wise. Key ideas from the Breakout Growth Podcast by Sean Ellis
- How Revolut Trading was built. The importance of industry expertise and the balance of conservative and new approaches
- How the “Slack vs Microsoft Teams” race evolves as the world switches to remote work
Unit economics
Calculating unit economics, LTV, ROI, ARPU, and other crucial metrics the right way
- How to calculate customer Lifetime Value. The do’s and don’ts of LTV calculation
- Guide to ARPU: formula, calculation example, LTV vs ARPU
- How to calculate unit economics for your business
Product analytics: tools and hints
How data and analytics help product managers make the right decisions
- Analyzing qualitative research results effectively
- Qualitative research in product management: the guide
- Avoid this pitfall when comparing your product’s metrics with your competitor’s
Interviews with expert PMs
Product professionals share their expertise
- Typical tasks of junior product managers (at Meta, LTK, and Sonos)
- How important are math skills for product managers?
- Which AI tools do PMs actually use?
Professions and skills
Essential skills and knowledge for product managers and analysts
- How top-performing PMs turn mistakes into opportunities
- How important are math skills for product managers?
- What did top-performing PMs learn in 2023?
Product testing and experiments
How to use A/B test and experiments to benefit the product
- 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