A cognitive bias where people tend to remember the first and last items in a series better than those in the middle, impacting recall and memory. Crucial for designing information presentation to optimize user memory and recall.
The process of understanding user behaviors, needs, and motivations through various qualitative and quantitative methods. Essential for designing user-centered products and ensuring they meet actual user needs.
A cognitive bias where people underestimate the complexity and challenges involved in scaling systems, processes, or businesses. Important for understanding the difficulties of scaling and designing systems that address these challenges.
A research approach that starts with a theory or hypothesis and uses data to test it, often moving from general to specific. Essential for validating theories and making informed decisions based on data.
A brief overview of the main points or sections of a document or web page. Crucial for helping users quickly understand the key takeaways and decide whether to read further.
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.
A framework that combines multiple theories to explain and predict behavior, focusing on intention, knowledge, skills, environmental constraints, and habits. Crucial for designing interventions that effectively change user behavior.
A psychological model that outlines the stages individuals go through to change behavior, including precontemplation, contemplation, preparation, action, and maintenance. Crucial for designing interventions and experiences that support users at different stages of behavior change.
The process of creating a simplified visual guide or blueprint for the layout and structure of a webpage or app, focusing on functionality and content placement. Crucial for planning and communicating design structure before full development.
A behavior change method that encourages the adoption of small, easy-to-do habits that can lead to larger, sustainable behavior changes. Important for designing systems that support gradual and sustainable behavior change.
The practice of using an established brand name to introduce new products or services. Essential for leveraging brand equity to expand product lines and enter new markets.
The distribution of a new or updated software product to users. Important for delivering new features, improvements, and fixes to users, ensuring continuous enhancement of the product.
An approach to design that actively involves all stakeholders (e.g., employees, partners, customers) in the design process. Crucial for creating designs that truly meet user needs and expectations.
A marketing technique focused on rapid experimentation across various channels and strategies to identify the most effective ways to grow a business. Important for quickly scaling businesses and achieving significant growth.
A type of long-term memory involving information that can be consciously recalled, such as facts and events. Important for understanding how users retain and recall information in design.
A time-boxed period in which Agile teams deliver incremental value in the form of working, tested software and systems. Essential for aligning teams, managing dependencies, and ensuring continuous delivery.
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.
Application Programming Interface (API) is a set of tools and protocols that allow different software applications to communicate and interact with each other. Essential for integrating different systems and enabling functionality in digital products.
A framework that defines how an organization operates across various functions to deliver value to customers and achieve business objectives. Crucial for aligning organizational functions and processes with strategic goals.
A deployment strategy where a new version is released to a small subset of users to detect any issues before a full rollout. Crucial for minimizing risk and ensuring the stability of digital products during updates and deployments.
A theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes. Important for understanding traditional economic theories and designing systems that account for rational decision-making.
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.
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks. Essential for developing state-of-the-art NLP applications.
The combined efforts of humans and AI systems to achieve better outcomes than either could alone. Important for leveraging the strengths of both humans and AI in various tasks.
Research conducted in natural settings to collect data on how people interact with products or environments in real-world conditions. Crucial for gaining authentic insights into user behaviors and contexts.
A principle often used in behavioral economics that suggests people evaluate options based on relative comparisons rather than absolute values. Important for understanding decision-making and designing choices that highlight beneficial comparisons.
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.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values. Essential for understanding data spread and variability, which helps in making informed decisions in product design and analysis.
A lightweight, flexible approach to software development that emphasizes team communication and continuous improvement. Useful for tailoring agile practices to fit the specific needs of the development team.
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation. Crucial for improving the relevance and accuracy of AI-generated responses.
The study of how people interact with their environment and products, aiming to improve comfort, efficiency, and safety. Crucial for designing user-friendly and safe products and workspaces.
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.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks. Valuable for creating interpretable models in digital product design and user behavior analysis.
The main brand in a brand architecture that houses sub-brands or extensions. Crucial for providing overarching brand identity and consistency across sub-brands.
The process of determining which tasks should be performed by humans and which by machines in a system. Essential for optimizing system efficiency and usability.
A technique used to assess the visual hierarchy of a design by squinting to see which elements stand out the most. Essential for evaluating the effectiveness of a design's layout and emphasis.
A project or venture that starts from scratch, with no constraints imposed by prior work, enabling innovation and flexibility in development. Essential for recognizing opportunities for innovation and fresh development in business initiatives.
The study of the interplay between individuals and their surroundings, including built environments and natural settings. Essential for designing spaces that enhance well-being and productivity.
A collaborative process specific to the design phase that involves stakeholders, including users, in the refinement of user-centered design solutions. Essential for creating designs that truly meet user needs and expectations.
The tendency to believe that things will always function the way they normally have, often leading to underestimation of disaster risks. Important for understanding risk perception and designing systems that effectively communicate potential changes.
The study of how individuals make choices among alternatives and the principles that guide these choices. Important for designing decision-making processes and interfaces that help users make informed choices.
A system where outputs are fed back into the process as inputs, allowing for continuous improvement based on user responses. Crucial for iterative development and continuous improvement in design and product management.
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.
The process of planning, creating, and managing content in a way that is user-centered and purpose-driven. Crucial for ensuring that content is engaging, relevant, and effective.
The change in opinions or behavior that occurs when individuals conform to the information provided by others. Important for understanding social dynamics and designing systems that leverage social proof and peer influence.
A small, cross-functional team of 6-12 people focused on delivering a specific product feature or component. Essential for agile development, allowing for rapid iteration and close collaboration among team members.
A collaborative process spanning multiple stages of product/service development where stakeholders, including users, actively participate in the design and development of products or services. Crucial for creating products that meet user needs and foster innovation.
A psychological theory that predicts an individual's behavior based on their intention, which is influenced by their attitudes and subjective norms. Important for understanding and predicting user behavior and designing interventions to influence actions.
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.
A decision-making strategy where individuals are prompted to make a choice rather than defaulting to a pre-set option. Useful for increasing user engagement and ensuring intentional decision-making.
Technologies that enable machines to understand and interpret data on the web in a human-like manner, enhancing connectivity and usability of information. Essential for improving data interoperability and accessibility on the web.
Anchoring (also known as Focalism) is a cognitive bias where individuals rely heavily on the first piece of information (the "anchor") when making decisions. Crucial for understanding and mitigating initial information's impact on user decision-making processes.
A tendency to avoid making decisions that might lead to regret, influencing risk-taking and decision-making behaviors. Crucial for understanding decision-making processes and designing systems that minimize regret.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language. Essential for developing applications like chatbots, language translation, and sentiment analysis.
The characteristics and qualities that define a brand and distinguish it from competitors. Essential for creating a unique brand identity and guiding brand communications.
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.
A pricing strategy where a high-priced option is introduced first to set a reference point, making other options seem more attractive in comparison. Important for shaping user perceptions of value and creating a benchmark for other pricing options.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback. Crucial for enhancing the performance and reliability of AI-driven design solutions by fostering continuous learning and improvement.
A collection of pre-written code and tools that provide a foundation for building the front end of websites and applications, such as Bootstrap or React. Crucial for streamlining the development process and ensuring consistency.
Numeronym for the term "10,000 Concurrent Clients", the challenge of optimizing network software to handle ten thousand simultaneous client connections. Important for ensuring scalability and performance in high-demand scenarios.