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?
Contrary to business intelligence (BI), embedded analytics solutions are integrated into the business applications that users already use.
Regression analysis is a method of analysis that helps you understand the relationship between a set of data points and an outcome.
With growth hacking, you focus on hypothesizing, prioritizing, testing, analyzing, and scaling growth strategies.
User research is a critical part of any PM’s job. This article goes through a story of how user research impacted LogRocket’s Issues team.
ARR represents the yearly revenue generated from subscriptions specific to a software-as-a-service enterprise. It serves as a solid barometer of business stability and proves invaluable for long-term strategic planning.
Heatmaps help you discover why users are behaving the way they do when they visit your website or use your product. It’s a powerful way to see how users respond to your application and why they may or may not be converting.
Often, product managers shoulder the full blame for failing to identify edge cases early in the product development process — that is, before the sprint begins.
Observability provides insights into the performance of your product based on the logs, traces, and metrics generated by your systems.
Application performance monitoring (APM) empowers you to make informed decisions that enhance overall user satisfaction and ultimately boost your bottom line.
Average order value (AOV) is the average amount your customers spend per purchase within a certain period.
A type 1 error, also known as a “false positive,” occurs when you mistakenly reject a null hypothesis as true.