Conspicuity
The ability of an object to stand out and attract attention within its environment. Important for designing elements that need to be easily noticed by users.
The ability of an object to stand out and attract attention within its environment. Important for designing elements that need to be easily noticed by users.
The concept of providing flexible and adaptive user interactions based on user input and behavior. Crucial for creating responsive and personalized user experiences.
The visual, auditory, and other sensory elements that represent a brand, such as logos, colors, and jingles. Crucial for creating a consistent and recognizable brand presence.
A usability testing method where participants verbalize their thoughts while interacting with a product. Essential for understanding user thought processes and identifying usability issues.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle. Essential for managing complex systems, improving communication among stakeholders, and enhancing the overall quality and efficiency of systems engineering processes.
A technique used in agile project management where tasks are estimated using the Fibonacci sequence to reflect the uncertainty and complexity of work. Essential for accurate and realistic task estimation in agile methodologies.
A medium through which a product or service is delivered to a customer, including physical and digital channels. Crucial for understanding how products and services reach end users.
A data-driven methodology aimed at improving processes by identifying and removing defects, and reducing variability. Crucial for enhancing the quality and efficiency of digital product development processes.
The hardware and software environment used to deploy and manage applications and services. Essential for ensuring reliable and scalable application deployment.
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. Crucial for keeping design efforts focused on user needs and preferences.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results. Crucial for refining AI-generated content by providing clear instructions on undesired elements, improving output quality and relevance.