Product teams have a million things to do — but what comes first? A prioritization matrix makes it easy to decide. Here’s how to use it.

The most common application of correlation and regression is predictive analytics, which you can use to make day-to-day decisions.

Successful product managers are strategic thinkers, customer-focused innovators, adaptive problem solvers, and inspirational motivators.

By making products accessible, you can broaden your potential customer base, reaching out to those who are otherwise neglected.

Managing a diverse range of products is an effective way to showcase strategic planning, forward-looking thinking, and a commitment to meeting the evolving demands of customers.

Little’s Law is a theorem used to calculate the typical number of items/customers in a stationary queue system per unit of time.

Cognitive biases impact consumer behavior, and its important to ethically address them to prevent customer churn and buyer’s remorse.

Product managers use various data sources, such as customer feedback, user behavior data, market research, and performance metrics, to make informed decisions, set priorities, and drive improvements.

DXPs are essential for improving user engagement, enhancing personalization, streamlining processes, and achieving better business outcomes.

Trunk-based development is an approach to where developers frequently integrate their code changes into a shared main branch.

A type 1 error, also known as a “false positive,” occurs when you mistakenly reject a null hypothesis as true.

The Scaled Agile Framework (SAFe) is a methodology designed to to ensure the coordination and scaling of agile practices across multiple teams collaborating to create a product or solution.