Back End
The term "back end" refers to a system's data access layer. It is a section that the end user does not have direct access to. The backend is known as the "data access layer," while the frontend is known as the "display layer."
Behavioral Product Management
The use of behavioral science and human psychology in product design is referred to as behavioral product management. It is presumptively assumed that humans are illogical, and that there are certain behavioral patterns that can aid in increasing both user experience and conversion rates.
Benchmarking
Benchmarking is a method to compare a product, brand or a market to the others. Benchmarking provides data and insight for a product in comprasion with other actors. In product development, benchmarking generally used for understand market by analyzing competitors.
Bounce Rate
In analytics, a bounce refers to a single page session. Bounce rate is the percentage of single views on a specific page. The lower the bounce rate is the better. A low bounce rate shows how successfully your visitors were interacted with pages.
Browser
A browser is a web-based program that gives you access to and interaction with the internet. It is a decent way to interact with all the information on the Web. Google Chrome, Safari, Mozilla Firefox, Opera are few of browsers. There are too many options out there, including even Microsoft Edge!
Bug
A bug in computer technology refers a mistake. It is described as an error, mistake, or fault in the design, development, or operation of computer tech. A bug can cause crash or an unwilling user action. There is no limit when it comes to bugs.
Build Measure Learn Loop
Build measure learn cycle (a.k.a BML loops) is a method in iterative product development, coined by Eric Ries in the book Lean Startup. A product should be developed in build-measure-learn (BML) loops to reach the product market fit quickly and effectively. The method's main idea is to build an MVP first, then have enough users use it, get feedback from them, measure, analyze learnings, and then build again with your learnings in mind. Continue doing so until you see the product market fit.