Bypassing Pattern
A reading pattern where users skip over certain sections of content, often due to a lack of perceived relevance. Crucial for designing content that is engaging and relevant to prevent users from bypassing important information.
122 topics found for:
“UI patterns”
Dark Patterns
UI/UX design tactics that intentionally manipulate users into taking actions they might not otherwise take. Important for recognizing and avoiding unethical design practices.
MVC
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input). Essential for creating modular, maintainable, and scalable software applications by promoting separation of concerns.
Sequential Navigation
A navigation design pattern where users follow a specific order of steps or stages to complete a task, often used in forms, surveys, and instructional guides. Essential for guiding users through processes in a clear and structured manner, improving usability.
Digital Phenotyping
The use of data from digital devices to measure and understand individual behavior and health patterns. Crucial for developing personalized user experiences and health interventions.
Normal Distribution
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve. Crucial for data analysis and understanding variability in user behavior and responses.
Mnemonic Device
A memory aid that helps individuals recall information through associations, patterns, or acronyms. Important for designing educational content and interfaces that enhance memory retention.
Hockey Stick Growth
A pattern of rapid and sustained growth after a period of linear or stagnant growth, resembling the shape of a hockey stick. Crucial for understanding and planning for rapid expansion phases in digital product lifecycle and business strategy.
Descriptive Analytics
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
Continuity
A Gestalt principle that describes the tendency of the human visual system to perceive lines or patterns that follow a smooth, continuous path rather than a disjointed or abrupt one. Essential for creating designs that guide the user's eye smoothly and logically.
Factor Analysis
A statistical method used to identify underlying relationships between variables by grouping them into factors. Crucial for simplifying data and identifying key variables in research.
InfoVis
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition. Crucial for transforming complex data into intuitive visual formats, enabling faster insights and better decision-making.
3-Tiered Architecture
3-Tiered Architecture is a software design pattern that separates an application into three layers: presentation, logic, and data. Crucial for improving scalability, maintainability, and flexibility in software development.
Gestalt Theory
A set of principles describing how the human mind organizes visual information into meaningful wholes. Crucial for designing intuitive digital interfaces and cohesive user experiences that align with natural human perception patterns.
Representativeness
Representativeness is a heuristic in decision-making where individuals judge the probability of an event based on how much it resembles a typical case. Crucial for understanding biases in human judgment and improving decision-making processes.
Exit Modal
A pop-up dialog that appears when a user attempts to leave a page or application, which can be used to prevent loss of progress or data, or to confirm user intent. While it can be used ethically to prevent data loss or confirm actions, designers must avoid using it to deceive, delay, block, or interfere with the user's intent, thus ensuring it does not become a dark pattern.
Principle of Repetition
A design principle that involves repeating elements to create consistency and unity, making the design more cohesive and understandable. Crucial for creating visually appealing and user-friendly designs that enhance readability and usability.
Polynomial Regression
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial. Useful for modeling non-linear relationships in digital product data analysis.
Histogram
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals. Important for analyzing and interpreting data distributions, aiding in decision-making and optimization in product design.
Object-Oriented Design
A programming paradigm that uses objects and classes to structure software design, promoting reusability and scalability. Crucial for developing maintainable and scalable software systems.
Object Constancy
The principle that elements in a digital interface maintain consistent appearance, position, and behavior across different pages and states to help users maintain orientation and familiarity. Important for creating a stable and predictable user experience, reducing disorientation and enhancing usability.
Consistency Bias
The tendency to recall past behavior in a way that aligns with current beliefs and attitudes. Crucial for understanding how memories and self-perception can be influenced by current perspectives.
Systems Thinking
A holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems. Essential for solving complex problems and designing systems that account for interdependencies and dynamics.
Generative AI
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data. Important for automating creative processes and generating novel outputs.
Normal Data Distribution
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean. Fundamental in statistics and crucial for many analytical techniques used in digital product design and data-driven decision making.
State-Dependent Memory
A phenomenon where people are more likely to remember information when they are in the same state of consciousness as when they learned it. Important for understanding how context affects memory recall and designing experiences that facilitate better retention.
Clickstream Analysis
The process of collecting, analyzing, and reporting aggregate data about which pages a website visitor visits and in what order. Essential for understanding user behavior and improving website navigation and content.
CIT
Critical Incident Technique (CIT) is a method used to gather and analyze specific incidents that significantly contribute to an activity or outcome. This method is important for identifying key factors that influence performance and user satisfaction.
MVF
Minimum Viable Feature (MVF) is the smallest possible version of a feature that delivers value to users and allows for meaningful feedback collection. Crucial for rapid iteration in product development, enabling teams to validate ideas quickly and efficiently while minimizing resource investment.
Churn
The rate at which customers stop using a product or service, often used as a metric to measure customer retention. Crucial for understanding customer behavior and improving retention strategies.
Centre-Stage Effect
The tendency for people to pay more attention to items placed in the center of a visual field. Crucial for designing layouts that maximize visibility and impact of key elements.
Motivation Wave
A concept describing how motivation fluctuates over time, influenced by various factors such as goals, rewards, and external circumstances. Crucial for designing systems that align with users' motivational states to maximize engagement and productivity.
CBR
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems. This approach is essential for developing intelligent systems that learn from past experiences to improve problem-solving capabilities.
Augmented Intelligence
A design pattern that combines human and machine intelligence to enhance decision-making and problem-solving. Important for leveraging AI to support and amplify human capabilities.
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. Crucial for designers to understand how category size influences user perception and decision-making processes.
Brand Loyalty
The tendency of consumers to continuously purchase the same brand's products over time. Essential for driving repeat business and ensuring long-term brand success.
Mapping
The process of creating visual representations of data or information to enhance understanding and decision-making. Essential for organizing information and making complex data accessible.
Machine Learning
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed. Crucial for developing intelligent systems that can make data-driven decisions.
Right Rail Blindness
A specific form of banner blindness where users ignore content placed in the right-hand rail of a web page. Important for optimizing web page layouts and placing critical information where it will be seen.
Longitudinal Study
A research method that involves repeated observations of the same variables over a period of time. Crucial for understanding changes and developments over time.
First Click Testing
A usability testing method that measures the first click users make on a webpage to determine if they can successfully navigate to their goal. Essential for evaluating and improving the navigational structure of a website.
Reverse Ideation
A creative thinking technique where the typical process is reversed to generate new ideas by considering the opposite of conventional assumptions. Useful for fostering innovation and challenging existing assumptions in problem-solving.
BeSci
Behavioral Science (BeSci) is the study of human behavior through systematic analysis and investigation. Essential for understanding and influencing user behavior in design and product development.
LLM
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
Behavioral Product Design
Designing products that leverage behavioral science to influence user behavior in positive ways. Crucial for creating products that are effective in shaping user behavior and improving engagement.
Lag Effect
A phenomenon where learning is improved when study sessions are spaced out over time rather than crammed together. Crucial for designing educational and training programs that enhance long-term retention.
KOS
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains. Essential for improving information findability, enhancing semantic interoperability, and supporting effective knowledge management in digital environments.
Eye Tracking
A technology and research method that measures where and how long a person looks at various areas on a screen or interface. Crucial for understanding user attention and improving interface design.
Product Adoption Rate
The speed at which users start using a new product, typically measured as a percentage of the target market over a specific period. Essential for evaluating the success of a product launch and planning subsequent strategies.
ARPA
Average Revenue Per Account (ARPA) is a metric used to measure the average revenue generated per user or account. Crucial for understanding and optimizing revenue streams in subscription-based businesses.
Interaction Modeling
The process of creating representations of how users will interact with a system, including the flow of interactions and the overall experience. Crucial for planning and optimizing user interactions and experience.
Primacy Effect
The tendency for the first items presented in a sequence to be remembered better than those in the middle. Crucial for designing information presentation and improving memory retention.
Hyperbolic Discounting
A cognitive bias where people disproportionately prefer smaller, immediate rewards over larger, later rewards. Important for understanding and designing around user decision-making and reward structures.
Design Excursions
Short, exploratory design activities or exercises that encourage creative thinking and experimentation. Important for fostering creativity and innovation in the design process.
Placement Bias
A cognitive bias where people overemphasize information that is placed prominently or in a way that catches their attention first. Crucial for designing interfaces and information displays that manage user attention effectively.
Worst Possible Idea
A brainstorming technique where participants intentionally suggest bad ideas to spur creative thinking and overcome mental blocks. Important for fostering creativity and out-of-the-box thinking during ideation sessions.
WCAG
Web Content Accessibility Guidelines (WCAG) are a set of guidelines developed by WAI to make web content more accessible. Essential for ensuring that websites are usable by individuals with disabilities, thereby promoting inclusivity and compliance with accessibility standards.
Denomination Effect
A cognitive bias where people are less likely to spend large denominations of money compared to an equivalent amount in smaller denominations. Useful for designers to understand consumer behavior and design pricing strategies that consider spending biases.
User Interviews
A qualitative research method involving direct conversations with users to gather insights into their needs, behaviors, and experiences. Essential for gaining deep insights into user perspectives and informing design decisions.
Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Essential for driving data-informed decision making, predicting trends, and uncovering valuable insights in digital product design and development.