Category posts
Interviews with expert PMs
We interview seasoned product people on various topics. Their expertise will help you find a path from your current career track to product management, get better at using data, and get a deeper understanding of your product in general.
Editorial

Data is a key part of product management. We gain our intuition by looking at data. We come up with hypotheses based on our observations of data. We test and validate these hypotheses using data. And we make key product decisions and monitor and track changes in data. In a nutshell, data helps us go from ideas to facts to decisions.
However, working with data is also wrought with pitfalls that every product manager should avoid. Data can sometimes be misleading or incomplete. It might not tell the whole truth and lead you in the wrong direction. And it might amplify your own erroneous assumptions.
(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?
(more…)→ Test your product management and data skills with this free Growth Skills Assessment Test.
→ Learn data-driven product management in Simulator by GoPractice.
→ Learn growth and realize the maximum potential of your product in Product Growth Simulator.
→ Join our discussion on LinkedIn. New topics to talk about every week.
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.
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Other content series
that you might find useful
- What is the difference between growth product manager, marketing manager, and core PM
- Two types of product work: creating value and delivering value
- Product/market fit can be weak or strong and can change over time
- Should a product be 10 times better to achieve product/market fit?
- How to measure the added value of a product
- Customer retention levers: task frequency and added value
- Product metrics, growth metrics, and added value metrics
- Product manager skills: evolution of a PM role and its transformation
- Addressing user pain points vs solving user problems better
- How product teams get the “aha moment” wrong
- How well do you articulate value during user activation? Check with the value communication framework
- Tax/benefit framework for analyzing user activation
- How to improve user activation by obtaining and leveraging additional user data
- Reducing friction, strengthening user motivation: onboarding scenarios and solutions
- Optimize user activation by reducing friction and strengthening motivation
- When to invest in optimizing user onboarding and activation
- Testing user activation fit for diverse use cases
- Why objective vs. perceived product value matters for activation
- Value windows: finding when users are ready to benefit from your product
- User activation starts long before sign-up
- Designing activation in reverse: value first, acquisition channels last
- CJM: from first encounter to the “aha moment”
- Session analysis: an important tool for designing activation
- When and why to add people to the user activation process
- Product-level building blocks for designing activation
- How time to value and product complexity shape user activation
- Time to value: an important lever for user activation growth
- How to determine the conditions necessary for the “aha moment”
- How to find “aha moment”: a qualitative plus quantitative approach
- How “aha moment” and the path to it change depending on the use case
- The dos and don’ts of measuring user activation
- User activation is one of the key levers for product growth
- When user activation matters and you should focus on it
- 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
- Slack vs Teams vs Workplace: the intriguing dynamics of the work messenger market
- How to calculate unit economics for your business
- Guide to ARPU: formula, calculation example, LTV vs ARPU
- How to calculate customer Lifetime Value. The do’s and don’ts of LTV calculation
- Designing product experiments: template and examples
- 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
- Avoid this pitfall when comparing your product’s metrics with your competitor’s
- Compound and exponential growth for product managers
- What product managers must know about percentages, percentage points, and percentiles
- Arithmetic mean and median for product managers
- Ways to estimate a competing app’s downloads, revenue, reach, and traffic
- How to design and run JTBD research interviews: guide and templates
- Not every product is habit-forming, but all products can have loyal users
- Hook Model: encouraging a product habit to improve retention
- How product habits are formed and what dopamine has to do with it
- Correlation and causation: how to tell the difference and why it matters for products
- Side projects to enter product management: tips and expert insights
- How do you avoid adding unnecessary features to your product?
- Where to start as an aspiring product manager?
- How to move from product analytics to product management?
- Is product management the right choice for you? This is your checklist
- Common mistakes made by junior product managers and how to overcome them
- Product sense demystified. The importance behind the buzzword
- Using data for strategic decisions
- The downsides of a data-driven culture
- Moving from a startup to an enterprise as a product manager
- 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?
- Pros and cons of a data-driven culture
- Quantitative vs qualitative data: what is the difference and when should you use one instead of the other
- Losing sight of real users and their needs behind the metrics. How can product teams avoid this?
- How to move from engineering to product management?
- How to establish effective collaboration between product managers and data analysts
- Metrics to focus on before and after product/market fit. How to better understand your product at different stages?
- How can PMs encourage more teammates to use data?
- Data cherry-picking to support your hypothesis. What is it? Why is it bad?
- The easiest and hardest parts of a PM’s job
- Side projects to enter product management: tips and expert insights
- What qualities do successful product managers have in common?
- What teams expect of a new product manager in the first 90 days
- Where to start as an aspiring product manager?
- How to move from product analytics to product management?
- Get hired as a product manager: staying at your current company vs. looking elsewhere
- Is product management the right choice for you? This is your checklist
- Common mistakes made by junior product managers and how to overcome them
- Product sense demystified. The importance behind the buzzword
- Retention: how to understand, calculate, and improve it
- Long-term retention—the foundation of sustainable product growth
- Rolling retention, Day N retention, and the many facets of the retention metric
- Traffic attribution models. Why attribution models need to change along with growth channels, product, business objective and external environment
- Errors in calculating ROI and unit economics. Impact of attribution models and incrementality on the ROI calculation of marketing channels