A professional responsible for the creation and development of products, ensuring they meet user needs and are visually appealing and functional. Important for translating user needs and business goals into tangible product solutions.
A testing method where the internal structure of the system is not known to the tester, focusing solely on input and output. Essential for validating the functionality of digital products from an end-user perspective.
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.
A team that supports other teams by providing specialized expertise and tools to improve their performance. Crucial for enhancing overall team effectiveness and efficiency.
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.
A dark pattern where the user is required to do something in order to access certain functionality or information. Designers must avoid compulsory actions and provide optional choices to respect user autonomy.
A cognitive bias where people underestimate the influence of emotional states on their own and others' behavior. Crucial for designers to account for varying user emotional states in experience design.
A Gestalt principle stating that elements with a distinct visual feature (e.g., a unique color, size, or shape) capture attention and are perceived as a focal point. Crucial for designing interfaces that direct attention toward visual elements that signal and enable forward progress.
Obstacles that make it difficult for new competitors to enter an industry, such as high capital requirements, strong brand loyalty, or regulatory hurdles. Crucial for assessing the competitive landscape and the feasibility of entering a new market.
A time management tool that helps prioritize tasks based on their urgency and importance, dividing them into four quadrants. Essential for designing productivity tools and strategies.
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 statistical method used to identify underlying relationships between variables by grouping them into factors. Crucial for simplifying data and identifying key variables in research.
The study of cooking techniques, ingredients, and the cultural significance of food, providing insights into creativity and innovation in other fields. Useful for drawing parallels between culinary arts and design, fostering creativity and innovation.
The core principles that underpin agile methodologies, focusing on collaboration, flexibility, and customer satisfaction. Crucial for guiding agile practices and ensuring effective project delivery.
A psychological phenomenon where repeated exposure to a stimulus leads to an increased preference for it. Useful for designing marketing and user engagement strategies that increase familiarity and preference.
Business-to-Government (B2G), a business model where products or services are sold to governments. Important for understanding and navigating public sector markets.
A user research technique where participants organize information into categories to inform information architecture and design. Essential for creating intuitive information architectures and improving user experience.
Also known as Expert Review, a method where experts assess a product or system against established criteria to identify usability issues and areas for improvement. Essential for leveraging expert insights to enhance product quality and usability.
Business-to-Consumer (B2C), a business model where products or services are sold directly to individual consumers. Essential for understanding consumer markets and developing direct marketing strategies.
Business-to-Business-to-Consumer (B2B2C), a business model where businesses sell products or services to other businesses that then sell them to consumers. Important for understanding complex value chains and partnership strategies.
A pricing strategy where a core product is sold at a low price, but complementary products are sold at higher prices. Useful for designing pricing strategies that maximize revenue from complementary products.
A problem-solving method that involves asking "why" five times to identify the root cause of a problem. Useful for designers and product managers to uncover underlying issues and improve processes and solutions.
A theory of emotion suggesting that physical and emotional responses to stimuli occur simultaneously and independently. Important for understanding user emotions and designing empathetic user experiences.
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.
Numeronym for the word "Compatibility" (C + 11 letters + Y), ensuring that systems, devices, or applications can operate together without conflict or need for modification. Crucial for ensuring seamless integration and functionality across different platforms.
Design strategies aimed at preventing user errors before they occur. Crucial for enhancing usability and ensuring a smooth user experience.
The tendency to believe that large or significant events must have large or significant causes. Important for understanding cognitive biases in decision-making and designing systems that present accurate causal relationships.
The planning and preparation to ensure that an organization can continue to operate in case of serious incidents or disasters. Crucial for minimizing disruptions and maintaining critical functions during and after unexpected events.
The tendency to overvalue new innovations and technologies while undervaluing existing or traditional approaches. Important for balanced decision-making and avoiding unnecessary risks in adopting new technologies.
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 metric used to rank leads based on their engagement with a brand, indicating their readiness to purchase. Crucial for prioritizing leads and improving sales efficiency.
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.
The visual images, symbols, or modes of representation collectively associated with a subject, often used in design to communicate ideas quickly and effectively. Important for creating cohesive and meaningful visual systems.
The high-level structure of a software application, defining its components and their interactions. Essential for designing robust, scalable, and maintainable digital products.
A statistical phenomenon where two independent events appear to be correlated due to a selection bias. Important for accurately interpreting data and avoiding misleading conclusions.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean. Important for understanding the distribution of data and making predictions about data behavior in digital product design.
The tendency to judge the strength of arguments based on the believability of their conclusions rather than the logical strength of the arguments. Important for understanding cognitive biases that affect decision-making and user perceptions.
A logical fallacy where anecdotal evidence is used to make a broad generalization. Crucial for improving critical thinking and avoiding misleading conclusions.
A persuasion strategy that involves getting a person to agree to a small request to increase the likelihood of agreeing to a larger request later. Crucial for building user commitment and enhancing marketing and sales strategies.
The experience of noticing something for the first time and then frequently encountering it shortly after, also known as frequency illusion. Important for understanding user perception and cognitive biases in information processing.
A framework used in graphic and web design to organize content in a structured and consistent manner. Essential for creating balanced and readable layouts.
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.
A cognitive bias where people place too much importance on one aspect of an event, causing errors in judgment. Important for understanding decision-making and designing interfaces that provide balanced information.
A systematic evaluation of behaviors within an organization or process to identify areas for improvement and ensure alignment with goals. Crucial for understanding and improving user behaviors and organizational processes.
Modifications or additions to a system that encourage specific user behaviors. Important for guiding user actions and improving the effectiveness of interactions.
The practice of designing products that evoke specific emotional responses to enhance user experience and engagement. Crucial for creating deeply engaging and satisfying user experiences.
A decision-making paradox that shows people's preferences can violate the expected utility theory, highlighting irrational behavior. Important for understanding inconsistencies in user decision-making and designing better user experiences.
The study of the nature, functions, and effects of cinema, exploring how films communicate and create meaning. Useful for understanding narrative and visual techniques that can be applied in multimedia design.
A phenomenon where users consciously or subconsciously ignore banner-like information or advertisements on websites. Important for designing effective web content that captures user attention.
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.
A parameter that controls the randomness of AI-generated text, affecting creativity and coherence. Important for fine-tuning the behavior and output of AI models.
A concept in transactional analysis that describes three different aspects of the self: Parent, Adult, and Child, each influencing behavior and communication. Important for designing communication strategies and interfaces that resonate with different user states.
A cognitive bias where people attribute greater value to outcomes that required significant effort to achieve. Useful for designing experiences that recognize and reward user effort and persistence.
Environmental signals that influence behavior and decision-making, such as signage, prompts, or notifications. Useful for designing environments and systems that effectively guide user behavior.
A cognitive bias where individuals strengthen their beliefs when presented with evidence that contradicts them. Important for understanding user resistance to change and designing strategies to address and mitigate this bias.
The degree to which a product's elements are consistent with external standards or other products. Important for ensuring compatibility and user familiarity across different systems.
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions. Crucial for designers to account for appropriate sample sizes in research and analysis.
The design of products, devices, services, or environments for people with disabilities or specific needs. Crucial for creating inclusive products that can be used by everyone, including those with disabilities.
Numeronym for the word "Accessibility" (A + 11 letters + Y), designing for ease of use by all people, ensuring equal access to those with disabilities. Crucial for ensuring inclusivity and compliance with accessibility standards.
A bias that occurs when researchers' expectations influence the outcome of a study. Crucial for designing research methods that ensure objectivity and reliability.