Content Ecology
The dynamic system of content creation, distribution, and interaction within an environment. Important for understanding how content flows and interacts within a system.
The dynamic system of content creation, distribution, and interaction within an environment. Important for understanding how content flows and interacts within a system.
The process of creating an early model of a product to test and validate ideas, features, and design choices before full-scale production. Essential for validating design choices and gathering user feedback early in the development process.
A seamless and integrated customer experience across multiple channels, such as online, mobile, and in-store. Crucial for providing a consistent and cohesive user experience, enhancing customer satisfaction and loyalty in digital products.
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.
Content or functionality that is built into a platform or device rather than being provided by an external application. Important for ensuring seamless integration and optimal performance.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables. Essential for predicting categorical outcomes in digital product analysis and user behavior modeling.
The study of narrative and narrative structure and the ways that these affect our perception. Useful for understanding and applying narrative techniques in design and communication.
A specific viewport dimension at which a website's layout adjusts to provide an optimal viewing experience across different screen sizes. Crucial for responsive web design to ensure usability on various devices.
Interference in the communication process caused by ambiguity in the meaning of words and phrases, leading to misunderstandings. Crucial for designing clear communication channels and reducing misunderstandings in user interactions.
A heuristic where individuals evenly distribute resources across all options, regardless of their specific needs or potential. Useful for understanding and designing around simplistic decision-making strategies.
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.
A dynamic aspect ratio that adjusts based on the container or screen size. Important for responsive design, ensuring elements remain proportional across devices.
ARIA attributes that define additional characteristics of elements, such as roles and relationships. Important for enhancing the accessibility and usability of web applications.
The principles and guidelines that govern the moral and ethical aspects of design, ensuring that designs are socially responsible and beneficial. Crucial for creating designs that are ethical, inclusive, and socially responsible.
A software application that combines elements of both native and web applications, running inside a native container. Important for leveraging the advantages of both web and native technologies, providing a balance of performance and flexibility.
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 practice of collecting, processing, and using data in ways that respect privacy, consent, and the well-being of individuals. Essential for building trust and ensuring compliance with legal and ethical standards.
A cognitive bias where people prefer a greater variety of options when making simultaneous choices compared to sequential choices. Important for designers to consider user preferences for variety when designing choice architectures and product offerings.
The study of how people make choices about what and how much to do at various points in time, often involving trade-offs between costs and benefits occurring at different times. Crucial for designing systems that account for delayed gratification and long-term planning.
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.
Customer Effort Score (CES) is a metric that measures how much effort customers have to put in to interact with a product or service. Crucial for identifying friction points and improving user experience in digital products.
A cognitive bias where people tend to believe that others are more affected by media messages and persuasive communications than they are themselves. Important for understanding media influence and designing communications that account for this bias in user perception.
The number of pixels per inch (PPI) on a display, affecting the sharpness and clarity of visual elements. Crucial for optimizing visual content for different devices.
A set of criteria that a user story or task must meet before being accepted into the development cycle, ensuring it is actionable and clear. Essential for ensuring that tasks are well-defined and ready for development.
The application of neuroscience principles to marketing, aiming to understand consumer behavior and improve marketing strategies. Important for creating more effective and engaging marketing campaigns.
The process of making predictions about future trends based on current and historical data. Useful for anticipating user needs and market trends to inform design decisions.
The pursuit of a healthy relationship with technology, balancing its use to enhance well-being without causing harm. Important for promoting healthy technology use and designing user experiences that support well-being.
Acquisition, Activation, Retention, Referral, and Revenue (AARRR) is a metrics framework for assessing user engagement and business performance. Important for product managers to understand customer lifecycle and optimize business growth.
The mathematical study of waiting lines or queues. Useful for optimizing user flow and reducing wait times in user interfaces.
The default scaling factor applied by a device to render content at its optimal size and resolution. Crucial for ensuring visual clarity and consistency on various devices.
The process of collecting and documenting the needs and expectations of stakeholders for a new or modified product or system. Essential for ensuring that the final product meets user needs and business objectives.
The study of social relationships, structures, and processes. Important for understanding the impact of social dynamics on user behavior and designing for social interactions.
The representation of data through graphical elements like charts, graphs, and maps to facilitate understanding and insights. Essential for making complex data accessible and actionable for users.
A phenomenon where the winner of an auction tends to overpay due to emotional competition, leading to a less favorable outcome than anticipated. Important for understanding decision-making biases and designing systems that mitigate overbidding risks.
A behavioral economic theory that describes how people choose between probabilistic alternatives that involve risk, where the probabilities of outcomes are known. Crucial for understanding decision-making under risk and designing systems that align with user behavior.
Cost Per Click (CPC) is an online advertising model where the advertiser pays each time a user clicks on their ad. This model is crucial for measuring and optimizing the effectiveness of online advertising campaigns.
A cognitive bias where people rely too heavily on their own perspective and experiences when making decisions. Important for designers to recognize and mitigate their own perspectives influencing design decisions.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions. Crucial for making data-driven decisions that improve product performance and user satisfaction.
The study of the nature, structure, and variation of language, including phonetics, phonology, syntax, semantics, and pragmatics. Essential for understanding how language influences communication and user interactions in digital products.
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.
The practice of protecting systems, networks, and programs from digital attacks, unauthorized access, and data breaches. Essential for safeguarding sensitive information, maintaining user trust, and ensuring the integrity and functionality of digital products and services.
The use of parallel structures in writing and design to create balance and rhythm, enhancing readability and aesthetic appeal. Crucial for creating clear, coherent, and visually appealing content and interfaces.
The process of testing product ideas and assumptions with real customers to ensure they meet market needs. Essential for reducing risk and ensuring product-market fit.
A key aspect of Gestalt psychology that explains the tendency for ambiguous images to pop back and forth unstably between alternative interpretations in the mind. Important for understanding visual perception and designing interfaces that avoid ambiguity.
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction. Useful for creating educational content and interactive tutorials that enhance user learning.
A concept that humans make decisions within the limits of their knowledge, cognitive capacity, and available time, leading to satisficing rather than optimal solutions. Crucial for designing systems and processes that account for human cognitive limitations and decision-making processes.
A visual representation of information or data designed to make complex information easily understandable at a glance. Important for communicating insights and data effectively to stakeholders and users in digital product design.
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.
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.
The process of turning potential customers into paying customers, often measured by the conversion rate. Essential for understanding and optimizing the customer journey.
A type of testing conducted to determine if the requirements of a specification are met, often the final step before delivery to the customer. Important for ensuring that a product meets the defined criteria and is ready for release.
A strategy where an additional, less attractive option is introduced to make other pricing options look more appealing, often steering customers towards a particular choice. Important for guiding user decisions and increasing the perceived value of targeted pricing tiers.
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.
A mathematical ratio, approximately 1.618:1, often used in design and art to create aesthetically pleasing compositions. Important for designing visually balanced and appealing layouts, leveraging natural aesthetics to enhance user experience.
A theoretical approach that focuses on observable behaviors and dismisses internal processes, emphasizing the role of environmental factors in shaping behavior. Foundational for understanding how external factors influence user behavior and for designing behavior-based interventions.
A professional responsible for promoting a product and driving its adoption in the market, through strategies like market research, positioning, and communication. Crucial for ensuring that products reach their target audience and achieve commercial success.
A decision-making rule where individuals choose the option with the highest perceived value based on the first good reason that comes to mind, ignoring other information. Crucial for understanding and designing for quick decision-making processes.
A phenomenon where people fail to recognize a repeated item in a visual sequence, impacting information processing and perception. Important for understanding visual perception and designing interfaces that avoid repetitive confusion.
A theory in environmental psychology that suggests people prefer environments where they can see (prospect) without being seen (refuge). Useful for understanding environmental design and creating spaces that feel safe and inviting.
A time-constrained, intensive process that helps teams quickly design, prototype, and test ideas. Important for rapidly developing and validating design solutions.