Category Size Bias
A cognitive bias where people judge the likelihood of an event based on the size of its category rather than its actual probability.
A cognitive bias where people judge the likelihood of an event based on the size of its category rather than its actual probability.
The speed at which users start using a new product, typically measured as a percentage of the target market over a specific period.
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
A role focused on overseeing the development, launch, and lifecycle of digital products, ensuring they meet market needs and business goals.
Ontology is a comprehensive model that includes entities, their attributes, and the complex relationships between them, while taxonomy is a hierarchical classification system that organizes entities into parent-child relationships.
Objectives and Key Results (OKR) is a goal-setting framework for defining and tracking objectives and their outcomes.
A pricing strategy where a core product is sold at a low price, but complementary products are sold at higher prices.
A clear and concise list of criteria that a product or task must meet to be considered complete, ensuring alignment and understanding within a team.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.