Data-Driven Product Management: Using Analytics To Make Better Product Decisions
Learn how data analytics can improve Product Management. See best practices for using data to make informed decisions and enhance product performance throughout its lifecycle.
5 Ways to Increase Product Engagement Using Advanced Insights
Use Product Analytics to increase engagement and retention. Product Analytics and digital experience intelligence help you understand why user behaviors occur at certain touchpoints, and how to increase desired outcomes.
5 Reasons Why Product Managers Have to Understand Data
It’s essential to understand data as Product Manager; understanding data lets you build better relationships with your customers and technical team, aligns internal stakeholders, and ultimately helps you make better Product decisions.
Should Product Managers Focus on Outcomes over Outputs?
A hotly argued debate is business outcomes vs outputs. In theory, it's easy to say outcomes are more important. But in practice, focusing on outputs is seductive because of a more is more mentality.
What is Product Analytics?
Get comfortable with Product Analytics to become a better data-driven Product Manager. Don't worry, you don't have to be a data expert!
Why Data Analytics Matters for Product Managers
Data analytics is a great way for Product Managers to make confident decisions. Here are 3 types of data to focus on.
User Research to Validate Product Ideas
Do user research before jumping to any big conclusions about your solution. This product validation not only saves you resources in the long run, but also helps you feel confident about the products you put out!
Coming Back from The Brink: 5 Product Stories of Failure and Success
Failure and success. Both are learning opportunities—especially when you find success after almost failing. Here are 5 products that were on their way to failure, but then recovered spectacularly.
Product Management Skills: User Research
User research is essential in Product Management. Read on for a breakdown of the most common user research methods.