Survivorship bias occurs when you focus on the survivors or successes while neglecting the failures or those who did not make it.

Data modeling governs how data is structured and organized, as well as how it can be stored, retrieved, and modified.

Customer feedback analysis is the art of taking feedback points from your customers and synthesizing them into clear, concise insights.

With dynamic pricing, the cost of a good or service increases as demand increases and can go up significantly depending on popularity.

In this article, you will learn the difference between lagging and leading metrics and how you can use them to optimize your product.

If you want to foster a data-driven culture in your organization, you need to outline a process to turn raw data into actionable insights.

Digital analytics is the practice of collecting and analyzing metrics that measure online engagement and activity.

A product qualified lead is a potential user who has experienced value from your product firsthand, often from using a product trial.

Control charts visually display the average amount of time it takes to complete a piece of work for a given team or project

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.

ASO includes both how highly the app ranks for direct search results, as well as how discoverable your application is.

No matter the initiative you’re working on, clarity on what success looks like is essential. There are multiple ways to achieve that clarity, including objectives and key results (OKRs) and product goals. But when should you use which method?