McNamara Fallacy
The error of making decisions based solely on quantitative observations and ignoring all other factors.
The error of making decisions based solely on quantitative observations and ignoring all other factors.
Information provided by users about their experience with a product, used to inform improvements and adjustments.
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter.
The application of behavioral science principles to improve the design and usability of digital products, focusing on user behavior and interactions.
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data.
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame.
Location, Alphabet, Time, Category, and Hierarchy (LATCH) is a framework for categorizing information.
Behavioral Science (BeSci) is the study of human behavior through systematic analysis and investigation.