Principle of Objects
The Principle of Objects is an information architecture guideline that treats content as living, distinct entities with behaviors and attributes.
The Principle of Objects is an information architecture guideline that treats content as living, distinct entities with behaviors and attributes.
Representativeness is a heuristic in decision-making where individuals judge the probability of an event based on how much it resembles a typical case.
The rate at which customers stop using a product or service, often used as a metric to measure customer retention.
A concept that humans make decisions within the limits of their knowledge, cognitive capacity, and available time, leading to satisficing rather than optimal solutions.
Monthly Recurring Revenue (MRR) is a metric that quantifies the predictable revenue generated each month from customers.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Business-to-Consumer (B2C), a business model where products or services are sold directly to individual consumers.
Lifetime Value (LTV) is a metric that estimates the total revenue a business can expect from a single customer account throughout their relationship.