Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle. Essential for managing complex systems, improving communication among stakeholders, and enhancing the overall quality and efficiency of systems engineering processes.
Simple Knowledge Organization System (SKOS) is a standard for representing knowledge organization systems such as thesauri, classification schemes, and taxonomies. Essential for enabling interoperability and sharing of structured knowledge across different systems.
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 practice and science of classification, often used to organize content and information. Essential for improving findability and usability in information systems.
The structural design of information environments, organizing and labeling content to support usability and findability. Essential for creating intuitive and navigable digital products.
The structural design of a product, defining its components, their relationships, and how they interact to fulfill the product's purpose. Important for ensuring that a product is well-organized, scalable, and maintainable.
A comprehensive list of all content within a system, used to manage and optimize content. Essential for organizing, auditing, and improving content strategy.
An approach to information architecture that starts with the details and builds up to a comprehensive structure. Useful for designing flexible and detailed systems that can adapt to user needs.
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 collection of reusable components, guided by clear standards, that can be assembled to build any number of applications, ensuring consistency and efficiency. Crucial for maintaining design consistency and efficiency across products.
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains. Essential for improving information findability, enhancing semantic interoperability, and supporting effective knowledge management in digital environments.
Enterprise Resource Planning (ERP) are integrated software systems that manage business processes across various departments, such as finance, HR, and supply chain. Essential for improving operational efficiency and providing a unified view of business operations.
Digital Asset Management (DAM) is a system that stores, organizes, and manages digital assets, such as images, videos, and documents. Essential for maintaining and leveraging digital content efficiently in product design and marketing.
A team responsible for developing and maintaining the foundational systems and services that support other teams and products. Crucial for ensuring scalability and efficiency across the organization.
A methodology for creating design systems by breaking down interfaces into their basic components (atoms, molecules, organisms, templates, and pages). Essential for creating scalable and maintainable design systems.
Data that provides information about other data, such as its content, format, and structure. Essential for organizing, managing, and retrieving digital assets and information efficiently in product design and development.
Customer Relationship Management (CRM) is a strategy for managing an organization's relationships and interactions with current and potential customers. Essential for improving business relationships and driving sales growth.
Human in the Loop (HITL) integrates human judgment into the decision-making process of AI systems. Crucial for ensuring AI reliability and alignment with human values.
A strategy where a team plays the role of an adversary to identify vulnerabilities and improve the security and robustness of a system. Crucial for testing the resilience of digital products and identifying areas for improvement.
A method for organizing information based on five categories: category, time, location, alphabet, and continuum. Useful for creating clear and effective information architectures.
The process of handling changes to software, hardware, or documentation in a systematic way. Critical for maintaining consistency and ensuring system integrity.
The risk of loss resulting from inadequate or failed internal processes, people, and systems. Important for identifying and mitigating potential operational threats.
A navigation system that groups related links or content into clusters for easier access. Important for enhancing user experience by simplifying access to related information.
Location, Alphabet, Time, Category, and Hierarchy (LATCH) is a framework for categorizing information. Useful for creating clear and intuitive information structures in digital products.
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt. Crucial for developing advanced, intelligent products that offer enhanced user experiences and operational efficiencies.
Ontology is a comprehensive model that includes entities, their attributes, and the complex relationships between them, while taxonomy is a hierarchical classification system that organizes entities into parent-child relationships. Essential for understanding the depth and scope of data organization, helping to choose the appropriate structure for information management and retrieval.
A structured framework for organizing information, defining the relationships between concepts within a specific domain to enable better understanding, sharing, and reuse of knowledge. Important for creating clear and consistent data models, improving communication, and enhancing the efficiency of information retrieval and management.
An approach to information architecture that begins with high-level structures and breaks them down into detailed components. Helps in creating a clear and organized framework from the outset, ensuring consistency and coherence.
A professional responsible for designing and managing data structures, storage solutions, and data flows within an organization. Important for ensuring efficient data management and supporting data-driven decision-making in digital product design.
A professional who designs, builds, and maintains systems for processing large-scale data sets. Essential for enabling data-driven decision-making and supporting advanced analytics in organizations.
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.
The process of running a system for an extended period to detect early failures and ensure reliability. Important for ensuring the stability and performance of digital products before full-scale deployment.
A method of categorizing information in more than one way to enhance findability and user experience. Crucial for improving navigation, search, and overall usability of complex information systems.
Getting Things Done (GTD) is a productivity methodology that emphasizes capturing tasks, organizing them, and taking action. Essential for improving personal and team productivity and task management.
A set of standards and guidelines used to ensure the integrity, security, and compliance of business processes and IT systems. Important for establishing robust governance and control mechanisms in digital product design and development.
Research focused on understanding and improving information architecture (IA), ensuring that information is logically and intuitively organized for users. Crucial for optimizing the organization and accessibility of information.
A recommendation system technique that makes predictions about user interests based on preferences from many users. Essential for personalizing user experiences and improving recommendation accuracy.
Numeronym for the word "Communications" (C + 12 letters + S). Essential for effective collaboration and information exchange.
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.
Dynamic Systems Development Method (DSDM) is an agile project delivery framework focused on delivering business value early and continuously. Essential for ensuring that projects align with business goals and user needs through iterative processes.
The process of tracking and managing potential customers from initial contact through to sale. Important for ensuring that leads are properly engaged and converted.
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.
A decision-making strategy where individuals allocate resources proportionally to the probability of an outcome occurring, rather than optimizing the most likely outcome. Important for understanding decision-making behaviors and designing systems that guide better resource allocation.
The hardware and software environment used to deploy and manage applications and services. Essential for ensuring reliable and scalable application deployment.
Entity Relationship Diagram (ERD) is a visual representation of the relationships between entities in a database. Essential for designing and understanding the data structure and relationships within digital products.
Representational State Transfer (REST) is an architectural style for designing networked applications based on stateless, client-server communication. Essential for building scalable and efficient web services.
A comprehensive view of a customer that includes data from all interactions and touchpoints across the customer journey. Crucial for delivering personalized experiences and improving customer satisfaction.
The Principle of Disclosure is an information architecture guideline that promotes revealing information progressively as users need it. Crucial for managing complexity and preventing information overload.
A structured set of breakpoints used to create responsive designs that work seamlessly across multiple devices. Important for maintaining consistency and usability in responsive design.
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.
Enterprise Architecture (EA) is a strategic framework used to align an organization's business strategy with its IT infrastructure. Crucial for optimizing processes, improving agility, and ensuring that technology supports business goals.
A framework for assessing and improving an organization's ethical practices in the development and deployment of AI. Important for ensuring that AI systems are developed responsibly and ethically.
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical. Essential for ensuring the responsible deployment and management of AI technologies.
Designing systems and processes to effectively respond to and manage crises, ensuring resilience and quick recovery. Crucial for preparing for unexpected events and minimizing their impact.
Balanced Scorecard (BSC) is a strategic planning and management system used to align business activities to the vision and strategy of the organization. Essential for aligning business activities with organizational strategy and improving performance.
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.
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.
The systematic process of capturing, evaluating, and implementing ideas to drive innovation, reflecting a collective commitment to continuous improvement and product excellence. Essential for harnessing team creativity and maintaining the entrepreneurial spirit that characterizes successful product development.
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.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions. This transparency is crucial for building trust and confidence in AI applications across various domains.