Product Metrics
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue.
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition.
The perception of a relationship between two variables when no such relationship exists.
A fictional representation of a user segment, created based on user research to guide design decisions and ensure the product meets the needs of its target audience.
A research approach that starts with observations and develops broader generalizations or theories from them.