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.
114 topics found for:
“design patterns”
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.
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.
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.
Computational Thinking
A problem-solving process that includes logical reasoning, pattern recognition, abstraction, and algorithmic thinking. Important for developing efficient and effective solutions in digital product design and development.
Friend Spam
A dark pattern where the product asks for the user's social media or email credentials and then spams all the user's contacts. Recognizing the harm of this practice is important to protect user trust and avoid spamming their contacts.
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.
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.
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.
Attention Bias
The tendency for people's perception to be affected by their recurring thoughts at the time. Important for understanding how current thoughts influence user perception and decision-making.
Illusory Correlation
The perception of a relationship between two variables when no such relationship exists. Crucial for understanding and avoiding biases in data interpretation and decision-making.
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.
Thin Data
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides. Useful for capturing high-level trends and patterns, but should be complemented with thick data to gain a deeper understanding of user behavior and motivations.
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.
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.
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.
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.
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.
Neural Network
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks. Essential for developing advanced AI applications in various fields.
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.
Data Distribution
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures. Critical for understanding the characteristics of data and informing appropriate analysis techniques in digital product development.
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.
Quantitative Research
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments. Essential for making data-driven decisions and validating hypotheses with statistical evidence.
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.
Outliers
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty. Crucial for identifying anomalies and ensuring the accuracy and reliability of data in digital product design.
SAFe
SAFe is a framework designed to scale agile practices across large organizations by integrating agile and lean principles. It is widely used but criticized for its rigidity, bureaucratic structure, and potential to stifle true agile culture.
Pattern Recognition
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology. Crucial for designing systems that leverage pattern recognition for predictive analytics and user interactions.
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.
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.
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.
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.
Heat Map
A data visualization technique that shows the intensity of data points with varying colors, often used to represent user interactions on a website. Essential for understanding user behavior and identifying areas of interest or concern in digital product interfaces.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.