HEART Framework
Happiness, Engagement, Adoption, Retention, and Task (HEART) is a framework used to measure and improve user experience success.
Happiness, Engagement, Adoption, Retention, and Task (HEART) is a framework used to measure and improve user experience success.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
The perception of a relationship between two variables when no such relationship exists.
A system where outputs are fed back into the process as inputs, allowing for continuous improvement based on user responses.
A cognitive bias where people allow themselves to indulge after doing something positive, believing they have earned it.
Also known as Self Relevance Effect, the tendency for individuals to better remember information that is personally relevant or related to themselves.
A qualitative research method that studies people in their natural environments to understand their behaviors, cultures, and experiences.
A theory that suggests the depth of processing (shallow to deep) affects how well information is remembered.