Product Architecture
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.
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.
The ability of a system, product, or process to handle increased loads or expand without compromising performance or efficiency. Essential for ensuring that products and systems can grow and adapt to increasing demands.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.
The high-level structure of a software application, defining its components and their interactions. Essential for designing robust, scalable, and maintainable digital products.
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.
Software as a Service (SaaS) is a software distribution model where applications are hosted by a service provider and accessed over the Internet. Crucial for enabling scalable and cost-effective software solutions for users.
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 pattern of rapid and sustained growth after a period of linear or stagnant growth, resembling the shape of a hockey stick. Crucial for understanding and planning for rapid expansion phases in digital product lifecycle and business strategy.
A system of design variables used to maintain consistency in a design system, such as colors, fonts, and spacing. Crucial for ensuring uniformity and scalability in design across different platforms and products.
A methodology for building software-as-a-service apps that emphasizes best practices for development, deployment, and scalability. Important for creating scalable, maintainable, and efficient digital products.
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.
Fundamental guidelines that inform and shape the design process, ensuring consistency, usability, and effectiveness in product creation. Essential for creating coherent, user-centered designs that align with organizational goals and user needs.
A research method in which participants interact with a series of potential product concepts in quick succession, providing rapid feedback on multiple ideas. Useful for quickly gathering user feedback on various concepts and iterating based on their preferences.
A design approach that divides a system into smaller parts or modules that can be independently created, modified, replaced, or exchanged. Crucial for creating flexible, scalable, and maintainable systems.
Numeronym for the word "Modularization" (M + 12 letters + N), dividing a system into separate, interchangeable modules that can be developed, tested, and maintained independently. Important for improving maintainability and scalability of systems.
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.
Don't Repeat Yourself (DRY) is a software development principle for reducing repetition and redundancy. Essential for creating efficient, maintainable, and scalable code in digital product design.
A developer proficient in both front-end and back-end technologies, capable of building complete web applications. Crucial for delivering comprehensive and cohesive digital products by managing both user interface and server-side components.
The part of an application that encodes the real-world business rules that determine how data is created, stored, and modified. Crucial for ensuring that digital products align with business processes and deliver value to users.
The use of software to automate repetitive marketing tasks and workflows, improving efficiency and effectiveness. Essential for streamlining marketing processes and increasing productivity.
A central location where data is stored and managed. Important for ensuring data consistency, accessibility, and integrity in digital products.
A collection of pre-written code and tools that provide a foundation for building the front end of websites and applications, such as Bootstrap or React. Crucial for streamlining the development process and ensuring consistency.
SAFe is a framework designed to scale agile practices across large organizations by integrating agile and lean principles. It is widely used but criticized for its rigidity, bureaucratic structure, and potential to stifle true agile culture.
Business Rules Engine (BRE) is a software system that executes one or more business rules in a runtime production environment. Crucial for automating decision-making processes and ensuring consistency and compliance in digital products.
Agile Release Train (ART) is a long-lived team of Agile teams that, along with other stakeholders, incrementally develops, delivers, and operates one or more solutions in a value stream. Important for coordinating Agile development and delivery at scale.
The degree to which a system's components may be separated and recombined, often used in the context of software or hardware design. Important for enhancing flexibility, reusability, and ease of maintenance in design.
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 programming paradigm aimed at improving the clarity, quality, and development time of software by using structured control flow constructs. Essential for writing clear, maintainable, and efficient code in digital product development.
A design approach that focuses on building a robust core experience first, then adding more advanced features and capabilities for users with more capable browsers or devices. Essential for ensuring a consistent and accessible user experience across different devices and browsers.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input). Essential for creating modular, maintainable, and scalable software applications by promoting separation of concerns.
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.
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.
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.
Node Package Manager (NPM) is a package manager for JavaScript, enabling developers to share and reuse code modules in their projects. Crucial for managing dependencies and streamlining development workflows in JavaScript applications.
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.