The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention. Important for understanding how information is processed and stored, enhancing design of educational content.
A qualitative research method where a small group of people discuss a product, service, or concept to gather diverse insights and opinions. Important for gaining in-depth understanding of user perceptions and needs.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
Simple Object Access Protoco (SOAPl) is a protocol for exchanging structured information in web services. Crucial for enabling communication between applications over a network.
Objectives and Key Results (OKR) is a goal-setting framework for defining and tracking objectives and their outcomes. Essential for aligning organizational goals, improving focus and engagement, and driving measurable results across teams and individuals.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input. This technology is essential for automating content creation and enhancing interactive experiences.
The simultaneous pursuit of differentiation and low cost, creating a leap in value for both the company and its customers, often associated with Blue Ocean Strategy. Important for developing strategies that can open up new markets and create significant competitive advantages.
A type of software testing that ensures that recent changes have not adversely affected existing features. Essential for maintaining software quality and reliability.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses. Essential for enhancing the capability and accuracy of AI models in digital products that rely on natural language understanding.
A principle that suggests the simplest explanation is often the correct one, favoring solutions that make the fewest assumptions. Crucial for problem-solving and designing straightforward, efficient solutions.
The ability to recognize, understand, and manage one's own emotions and the emotions of others. Essential for designing empathetic user experiences and effective team collaboration.
A planning method that starts with defining a desirable future and then works backwards to identify steps to achieve that future. Important for strategic planning and setting long-term goals in design and development.
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.
The process of gathering and analyzing information about competitors to inform business strategy and decision-making. Essential for understanding market positioning and developing effective competitive strategies.
The study of computers as persuasive technologies, focusing on how they can change attitudes or behaviors. Important for designing systems that effectively influence user behavior ethically.
The ability of a system to maintain its state and data across sessions, ensuring continuity and consistency in user experience. Crucial for designing reliable and user-friendly systems that retain data and settings across interactions.
Tell, Don't Ask (TDA) is a design principle in software engineering that promotes encapsulation by having objects handle their own data and actions. Essential for maintaining object-oriented integrity and reducing dependencies in the code.
Narrative descriptions of how users might interact with a product or system to achieve specific goals, used to inform design and development. Important for understanding user needs and ensuring the design supports their tasks and goals.
A principle stating that a system should be liberal in what it accepts and conservative in what it sends, meaning it should handle user input flexibly while providing clear, consistent output, similar to the principle of fault tolerance. Essential for designing robust and user-friendly interfaces that accommodate a wide range of user inputs and behaviors while maintaining reliability and clarity in responses.
Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon that offers a wide range of services including computing power, storage, and databases. Crucial for enabling scalable, cost-effective, and flexible IT infrastructure solutions for businesses of all sizes.
An economic theory that explains why some necessities, such as water, are less expensive than non-essentials, like diamonds, despite their greater utility. Useful for understanding consumer behavior and designing pricing strategies.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability. Essential for state-of-the-art NLP applications.
Capability, Opportunity, Motivation (COM...) is a framework for understanding Behavior (Ã B). Important for designing interventions that effectively change user behavior.
A time-constrained, intensive process that helps teams quickly design, prototype, and test ideas. Important for rapidly developing and validating design solutions.
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.
Short for Product Operations, a function that supports product management teams by streamlining processes, managing tools, and ensuring efficient operations. Important for optimizing product management activities and improving cross-functional collaboration.
Rich Internet Application (RIA) is a web application that offers interactive and engaging user experiences similar to desktop applications. Essential for providing enhanced functionality and better user interfaces on the web.
The level of sophistication and integration of design practices within an organization's processes and culture. Essential for assessing and improving the effectiveness of design in driving business value and innovation.
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.
Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems to create scalable and highly reliable software systems. Crucial for maintaining the reliability and efficiency of complex software systems.
The time it takes for a webpage to load and become interactive, impacting user experience and search engine rankings. Essential for improving user satisfaction and SEO performance.
A technique used in agile project management where tasks are estimated using the Fibonacci sequence to reflect the uncertainty and complexity of work. Essential for accurate and realistic task estimation in agile methodologies.
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 practice of keeping multiple web pages open in browser tabs for future reference or action. Important for understanding user behavior and designing for multi-tab usage.
A cohesive system of visual and interaction design principles and guidelines that ensure consistency and coherence across a product or brand's interfaces and experiences. Essential for creating a unified and recognizable user experience, ensuring consistency, usability, and brand identity across all platforms and touchpoints.
A learning method that involves teaching a concept to a novice to identify gaps in understanding and reinforce knowledge. Important for enhancing comprehension and retention of complex subjects.
Artificially generated data that mimics real data, used for training machine learning models. Crucial for training models when real data is scarce or sensitive.
Numeronym for the word "Canonicalization" (C + 14 letters + N), converting data to a standard, normalized form to ensure consistency and eliminate ambiguities, often used in URLs to avoid duplicate content issues in SEO. Important for ensuring consistency and reducing redundancy.
The process of bringing a product from development to market, ensuring it meets quality standards and customer needs. Crucial for the successful launch and adoption of a product.
Strengths, Weaknesses, Opportunities, and Threats (SWOT) is a strategic planning tool that is applied to a business or project. Essential for strategic planning and decision-making.
Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) is an acronym for describing the challenging conditions of the modern world. Important for understanding and navigating dynamic and unpredictable environments.
A meeting held at the end of a project or development cycle, also known as a "post-mortem," to review what went well, what didn't, and how processes can be improved in the future. Crucial for continuous improvement and learning from past experiences to enhance future projects.
The ability of users to influence the behavior and outcomes of a system or product, allowing them to interact with it according to their preferences. Essential for creating user-friendly interfaces that allow for flexibility and customization.
The practice of planning and organizing people, infrastructure, communication, and material components of a service to improve its quality and the interaction between service providers and customers. Essential for creating effective and user-centered service experiences.
Not Invented Here (NIH) syndrome refers to the aversion to using or buying products, research, or knowledge developed outside an organization. This mindset can hinder innovation and collaboration.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group. Important for reducing variability and improving the accuracy of experimental results.
Design strategies aimed at preventing user errors before they occur. Crucial for enhancing usability and ensuring a smooth user experience.
An approach that places the user's needs, preferences, and behaviors at the forefront of all design and development activities. Important for fostering a design culture that prioritizes user satisfaction and engagement.
An overarching idea or theme that guides the design process, providing direction and coherence to the final product. Essential for ensuring that all design elements align with a central vision and purpose.
A user experience design methodology focused on rapid iteration, collaboration, and learning through experimentation. Essential for creating user-centered designs efficiently and effectively.
The primary brand in a brand architecture that serves as the foundation for all sub-brands and extensions. Essential for providing a unified brand strategy and leveraging brand equity across multiple products.
A broader, more informal community of interest that spans across the entire organization, focusing on shared topics such as agile practices or UX design. Valuable for cross-functional learning, knowledge sharing, and promoting a unified approach to common challenges.
A psychological theory proposed by Abraham Maslow that outlines a five-tier model of human needs, ranging from basic physiological needs to self-actualization. Crucial for designing products and services that address various levels of user needs.
The degree to which the operations and decisions of an AI system are understandable and explainable to users. Crucial for building trust and ensuring ethical AI use.
Business Process Execution Language (BPEL) is a language for specifying business process behaviors based on web services. Important for defining and automating complex business processes in digital product workflows.
A research technique that explores the context in which users interact with a product, service, or environment to understand their needs and behaviors. Crucial for gaining deep insights into user contexts and designing more relevant solutions.
A methodology that focuses on minimizing waste and maximizing value in business processes. Essential for improving efficiency, productivity, and customer satisfaction by eliminating non-value-adding activities.
The study of finding the best solution from a set of feasible solutions. Crucial for improving efficiency and performance in design and development processes.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas. Important for understanding the potential future impacts and ethical considerations of AI development.
A cognitive bias that causes people to believe they are less likely to experience negative events and more likely to experience positive events than others. Crucial for understanding user risk perception and designing systems that account for unrealistic optimism.