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 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.
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.
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.
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.
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.
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.
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.
The mathematical study of waiting lines or queues. Useful for optimizing user flow and reducing wait times in user interfaces.
A cognitive bias where new evidence or knowledge is automatically rejected because it contradicts established norms or beliefs. Important for recognizing resistance to change and designing strategies to encourage openness to new ideas among designers.
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 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 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.
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.
ARIA attributes that define additional characteristics of elements, such as roles and relationships. Important for enhancing the accessibility and usability of web applications.
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.
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 cognitive process used to generate creative ideas by exploring many possible solutions, often contrasted with convergent thinking. Essential for fostering creativity and innovation in problem-solving and design.
The reduction of restraint in behavior, often due to the absence of social cues, which can lead to impulsive actions and emotional outbursts. Important for understanding user behavior in online and anonymous contexts.
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 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 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.
A logical fallacy that occurs when one assumes that what is true for a part is also true for the whole. Important for avoiding incorrect assumptions in design and decision-making.
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 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 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 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.
A phenomenon where new information interferes with the ability to recall previously learned information, affecting memory retention. Crucial for understanding memory dynamics and designing educational or training programs.
A time-constrained, intensive process that helps teams quickly design, prototype, and test ideas. Important for rapidly developing and validating design solutions.
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.
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 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.
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 study of psychology as it relates to the economic decision-making processes of individuals and institutions. Essential for understanding and influencing user decision-making and behavior in economic contexts.
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 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 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.
Obstacles to effective communication that arise from differences in understanding the meanings of words and symbols used by the communicators. Crucial for designing clear and effective communication systems and avoiding misunderstandings.
The process of turning potential customers into paying customers, often measured by the conversion rate. Essential for understanding and optimizing the customer journey.
A psychological state where individuals lose their sense of self-awareness and personal responsibility in groups, often leading to atypical behavior. Crucial for understanding group dynamics and designing experiences that promote positive group interactions.
A cognitive bias where individuals overestimate the likelihood of extreme events regressing to the mean. Crucial for understanding decision-making and judgment under uncertainty.
A unit of measure used in Agile project management to estimate the relative effort required to complete a user story or task. Crucial for planning and managing workload within Agile teams.
A logical fallacy where anecdotal evidence is used to make a broad generalization. Crucial for improving critical thinking and avoiding misleading conclusions.
A large body of work that can be broken down into smaller tasks or user stories, used in agile project management to organize work. Essential for managing and organizing large projects in agile development.
An experimental design where different groups of participants are exposed to different conditions, allowing for comparison between groups. Important for understanding and applying different experimental designs in user research.
Interactive Voice Response (IVR) is an automated telephony system that interacts with callers, gathers information, and routes calls to the appropriate recipient. It improves customer service and automates information retrieval.
A cognitive bias where individuals evaluate outcomes relative to a reference point rather than on an absolute scale. Essential for understanding decision-making and consumer behavior.
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 group members tend to discuss information that everyone already knows rather than sharing unique information, leading to less effective decision-making. Important for understanding group dynamics and improving the quality of collaborative decision-making among designers.
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.
A social norm of responding to a positive action with another positive action, fostering mutual benefit and cooperation. Important for designing user experiences and systems that encourage positive reciprocal interactions.
The error of making decisions based solely on quantitative observations and ignoring all other factors. Important for ensuring a holistic approach to decision-making.
The phenomenon where taking a test on material improves long-term retention of that material more than additional study sessions. Crucial for designing educational tools and methods that enhance learning and retention.
A detailed diagram that visualizes the processes, touchpoints, and interactions involved in delivering a service, helping to identify areas for improvement. Crucial for optimizing service delivery and ensuring a seamless user experience.
The initial interaction a customer has with a brand. Important for understanding the beginning of the customer journey.
Practical applications of behavioral science to understand and influence human behavior in various contexts. Crucial for applying scientific insights to design and improve user experiences and outcomes.
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.
A cognitive bias that occurs when conclusions are drawn from a non-representative sample, focusing only on successful cases and ignoring failures. Crucial for making accurate assessments and designing systems that consider both successes and failures.
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.