Transformer
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.
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.
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle. Crucial for ensuring efficient and effective product management and development.
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.
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks. Essential for developing state-of-the-art NLP applications.
The mathematical study of waiting lines or queues. Useful for optimizing user flow and reducing wait times in user interfaces.
A digital replica of a physical entity, used to simulate, analyze, and optimize real-world operations. Essential for improving operational efficiency and decision-making.
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.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation. Essential for evaluating model performance and preventing overfitting in digital product analytics.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance. Essential for developing advanced AI models, particularly in natural language processing.
A model predicting the speed-accuracy trade-off in pointing tasks when using devices like a mouse, important for user interface design. Useful for designing user interfaces that are efficient and easy to navigate.
A cognitive architecture model that explains how humans can learn and adapt to new tasks. Useful for understanding user learning and behavior adaptation, informing better user experience design.
Cost Per Action (CPA) is an online advertising pricing model where the advertiser pays for a specified action, such as a sale or registration. This model is crucial for optimizing ad spend and measuring marketing effectiveness.
A predictive model of human movement that describes the time required to move to a target area, used to design user interfaces that enhance usability. Important for designing efficient and user-friendly interfaces.
The practice of designing and implementing processes, systems, or business solutions in a way that ensures their long-term viability, efficiency, and maintainability. Crucial for creating durable and efficient designs that remain practical and effective over time, ensuring the ongoing success and feasibility of digital products and operations.
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
A reusable solution to common design problems that provides a standard way of addressing recurring issues in design. Essential for creating consistent and efficient design solutions.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses. Essential for improving the accuracy and reliability of AI-generated content.
Business-to-Business-to-Business (B2B2B), a business model where businesses sell products or services to other businesses that then sell them to additional businesses. Crucial for understanding multi-tiered business relationships and strategies.
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.
The theory that users search for information in a manner similar to animals foraging for food, aiming to maximize value while minimizing effort. Important for designing efficient and user-centered information retrieval systems.
Business Process Model and Notation (BPMN) is a graphical representation for specifying business processes in a workflow, using standardized symbols and notations. Essential for creating clear, standardized diagrams that facilitate understanding and communication of business processes in digital product design.
Decision-making strategies that use simple heuristics to make quick, efficient, and satisfactory choices with limited information. Important for designing user experiences that support quick and efficient decision-making.
Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment or compare the efficiency of different investments. Crucial for assessing the financial effectiveness of business decisions, projects, or initiatives.
Capability Maturity Model (CMM) is a framework for improving and optimizing processes within an organization. Essential for assessing and enhancing the maturity and efficiency of processes in product design and development.
Business Process Management Software (BPMS) refers to tools and systems that help organizations design, model, execute, monitor, and optimize their business processes. Essential for improving operational efficiency and ensuring that digital products support effective business processes.
A metric that shows the revenue that a company can expect to receive annually from its customers for subscriptions or services. Essential for understanding business performance and growth potential.
A team structure focused on delivering value streams, often organized around a specific business capability or customer need. Crucial for enhancing delivery efficiency and aligning with business goals.
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.
A product development methodology that emphasizes shaping work before starting it, fixing time and team size but leaving scope flexible to ensure high-quality outcomes. Crucial for managing product development efficiently and delivering high-quality results within constraints.
A principle stating that as investment in a single area increases, the rate of return on that investment eventually decreases. Important for understanding and optimizing resource allocation in product design and development.
Cost Per Objective Option (CPOO) is a metric used to measure the cost efficiency of different marketing options based on achieving specific objectives. This metric is crucial for optimizing marketing spend and measuring campaign effectiveness.
Providing clear, concise, and relevant navigation options to help users find what they need quickly. Crucial for improving user experience and efficiency in digital products.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems. Useful for risk assessment, decision-making, and performance optimization in digital product design.
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.
The process of ranking leads based on their perceived value to the organization. Useful for prioritizing sales efforts and improving conversion rates.
Rapid Application Development (RAD) is a software development methodology that emphasizes quick prototyping and iterative delivery. Essential for reducing development time and adapting to changing requirements.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed. Crucial for developing intelligent systems that can make data-driven decisions.
A framework that defines how an organization operates across various functions to deliver value to customers and achieve business objectives. Crucial for aligning organizational functions and processes with strategic goals.
Impact, Confidence, and Ease of implementation (ICE) is a prioritization framework used in product management to evaluate features. Essential for making informed and strategic decisions about feature development and prioritization.
The process of creating representations of how users will interact with a system, including the flow of interactions and the overall experience. Crucial for planning and optimizing user interactions and experience.
A prioritization framework used in product management to evaluate features based on Reach, Impact, Confidence, and Effort. Crucial for making informed decisions about which product features to prioritize and develop.
A collection of multiple squads working in the same domain or on related projects, typically consisting of 40-150 people. Important for ensuring alignment and coordination across related squads, fostering a larger community with shared goals.
Business-to-Government (B2G), a business model where products or services are sold to governments. Important for understanding and navigating public sector markets.
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.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models. Essential for improving the alignment and performance of AI systems in real-world applications.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider. Essential for making advanced AI capabilities accessible to businesses.
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.
New Product Development (NPD) is the complete process of bringing a new product to market, from idea generation to commercialization. Essential for companies to innovate, stay competitive, and meet evolving customer needs through a structured approach to creating and launching new offerings.
Marketing Qualified Lead (MQL) is a prospective customer who has shown interest in a company's product or service and meets specific criteria indicating a higher likelihood of becoming a customer. Essential for prioritizing leads and optimizing the efficiency of sales and marketing efforts by focusing resources on prospects most likely to convert.
The process of creating an early model of a product to test and validate ideas, features, and design choices before full-scale production. Essential for validating design choices and gathering user feedback early in the development process.
A concept that humans make decisions within the limits of their knowledge, cognitive capacity, and available time, leading to satisficing rather than optimal solutions. Crucial for designing systems and processes that account for human cognitive limitations and decision-making processes.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty. Crucial for identifying anomalies and ensuring the accuracy and reliability of data in digital product design.
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks. Essential for developing advanced AI applications in various fields.
The process of transitioning an organization to agile methodologies, including changes in culture, processes, and practices. Essential for organizations seeking to adopt agile practices for improved efficiency and responsiveness.
A small, cross-functional team of 6-12 people focused on delivering a specific product feature or component. Essential for agile development, allowing for rapid iteration and close collaboration among team members.
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.
Drivers, Approvers, Contributors, and Informed (DACI) is a responsibility assignment framework that clarifies roles and responsibilities. Essential for making clear and effective decisions in collaborative environments.
Internet of Things (IoT) refers to a network of interconnected physical devices embedded with electronics, software, sensors, and network connectivity, enabling them to collect and exchange data. Essential for creating smart, responsive environments and improving efficiency across various industries by enabling real-time monitoring, analysis, and automation.
Product Development is the process of bringing a new product to market or improving an existing one. Crucial for innovation, meeting customer needs, and maintaining a competitive edge.
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.