The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods. Important for optimizing design processes, improving product performance, and making data-driven decisions that enhance user experience and business success.
A testing method that examines the internal structure, design, and coding of a software application to verify its functionality. Essential for ensuring the correctness and efficiency of the code in digital product development.
A role responsible for ensuring that products and services are delivered efficiently, on time, and within budget. Crucial for managing project timelines, resources, and stakeholder expectations.
Time to Value (TTV) is a metric that measures the time it takes for a customer to realize the value of a product or service after purchase. Crucial for optimizing customer satisfaction and improving business outcomes.
Integrated Development Environment (IDE) is a software suite that combines tools like code editors, debuggers, and compilers. Essential for improving developer productivity and ensuring efficient and error-free coding practices.
A brand architecture strategy where multiple distinct brands are managed under a single parent company. Crucial for managing diverse product lines and maximizing market reach.
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.
The study of the principles and techniques of art, including visual composition, aesthetics, and the role of art in society. Important for understanding visual design principles and enhancing the aesthetic quality of digital products.
A consensus-building technique where participants show their level of agreement or support by raising zero to five fingers. Useful for quickly gauging team agreement and making collaborative decisions in product design and development meetings.
Software that acts as an intermediary between different systems or applications, enabling them to communicate and function together. Crucial for integrating various components and ensuring seamless interaction within digital products.
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 collective term for Request for Information (RFI), Request for Proposal (RFP), and Request for Quotation (RFQ) processes used in procurement. Crucial for managing vendor selection and procurement processes in digital product development.
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.
Application Support Engineer (ASE) is a professional responsible for maintaining and supporting software applications, ensuring their availability and performance. Crucial for ensuring the reliability and user satisfaction of digital products through effective support and maintenance.
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 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.
A principle stating that as the flexibility of a system increases, its usability often decreases, and vice versa. Crucial for balancing versatility and ease of use in design.
User Acceptance Testing (UAT) is the final phase of the software testing process where actual users test the software to ensure it meets their requirements. Crucial for validating that the software functions correctly in real-world scenarios before its release.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models. Crucial for optimizing the performance of AI applications.
An approach to design that aligns design activities with strategic business goals, ensuring that design contributes to overall organizational success. Essential for integrating design into the strategic planning process and achieving business objectives.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements. Crucial for ensuring that a product remains competitive and meets evolving user needs.
The process of defining how a product is perceived in the minds of consumers, relative to competing products, to create a unique market identity. Essential for differentiating a product and attracting the target market.
Know Your Customer (KYC) is a process used by businesses to verify the identity of their clients and assess potential risks of illegal intentions for the business relationship. Essential for preventing fraud, money laundering, and terrorist financing, particularly in financial services, while also ensuring compliance with regulatory requirements and building trust with customers.
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.
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame. Essential for agile development and making data-driven decisions efficiently.
The degree to which users feel they have control over their actions and decisions when interacting with a product or system. Crucial for designing systems that empower users and enhance their sense of control and satisfaction.
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.
Numeronym for the word "Internationalization" (I + 18 letters + N), enabling localization for different languages, regions, and cultures without requiring extensive rework. Important for expanding product reach to global markets.
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.
The tendency to overestimate how much our future preferences and behaviors will align with our current preferences and behaviors. Important for understanding user behavior and designing experiences that account for changes over time.
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.
A set of practices and principles that guide agile methodologies, such as Scrum and Kanban, to improve project management and product development. Important for structuring agile practices and ensuring effective project delivery.
The process of generating a broad set of ideas on a given topic, with no attempt to judge or evaluate them initially. Crucial for creative problem-solving and developing innovative solutions in product design and development.
Numeronym for the word "Accessibility" (A + 11 letters + Y), designing for ease of use by all people, ensuring equal access to those with disabilities. Crucial for ensuring inclusivity and compliance with accessibility standards.
The extent to which individuals or organizations plan for and consider the long-term consequences of their actions. Crucial for designing strategies and products that are sustainable and adaptable over time.
The study of cultural norms, values, and practices and their influence on human behavior. Useful for designing products that are culturally sensitive and relevant.
A Lean methodology concept identifying seven types of waste in processes to improve efficiency. Valuable for product managers and engineers to optimize processes and eliminate inefficiencies.
Adaptive Software Development (ASD) is a software development methodology that focuses on continuous adaptation to changing requirements and environments. Essential for managing changing requirements and ensuring agile project delivery.
The accumulated consequences of poor design decisions, which can hinder future development and usability. Crucial for understanding and addressing the long-term impact of design choices.
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 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.
Business-to-Business-to-Consumer (B2B2C), a business model where businesses sell products or services to other businesses that then sell them to consumers. Important for understanding complex value chains and partnership strategies.
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 user-centered design process that involves understanding users' needs and workflows through field research and applying these insights to design. Essential for creating designs that are deeply informed by user contexts and behaviors.
An Agile project management framework that uses iterative cycles, called sprints, to deliver incremental improvements and adapt to changing requirements. Crucial for managing projects in a flexible and iterative manner, ensuring continuous improvement and responsiveness.
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.
A framework that incorporates privacy considerations into the design and development of products and services from the outset. Crucial for ensuring user privacy and compliance with data protection regulations.
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.
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.
The day-to-day activities required to produce goods and services, manage resources, and support business functions. Essential for ensuring efficient and effective functioning of an organization.
A testing method that examines the code, documentation, and requirements without executing the program. Important for identifying defects early in the development lifecycle, improving the quality and reducing the cost of digital products.
A cognitive bias where people judge the likelihood of an event based on its relative size rather than absolute probability. Important for understanding user decision-making biases and designing systems that present information accurately.
A theoretical concept in economics that portrays humans as rational and self-interested agents who aim to maximize their utility. Important for understanding economic decision-making and designing systems that align with rational behavior.
A field research method where researchers observe and interview users in their natural environment to understand their tasks and challenges. Crucial for gaining authentic insights into user behavior and needs.
A research method where participants record their activities, experiences, and thoughts over a period of time, providing insights into their behaviors and needs. Important for gaining in-depth, longitudinal insights into user experiences.
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 style and attitude of the communication in a product, reflecting the brand's personality and affecting how messages are perceived by users. Important for creating a consistent and engaging user experience that aligns with the brand identity.
Happiness, Engagement, Adoption, Retention, and Task (HEART) is a framework used to measure and improve user experience success. Important for systematically evaluating and enhancing user experience.
The practice of drawing inspiration from sources outside of one's field to generate creative ideas. Useful for fostering creativity and innovation in design and product development.
Customer Effort Score (CES) is a metric that measures how much effort customers have to put in to interact with a product or service. Crucial for identifying friction points and improving user experience in digital products.