A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected. Important for ensuring the reliability and performance of digital products, leading to better user satisfaction and fewer post-launch issues.
A design language developed by Google that uses shadow, depth, and motion to create a realistic and intuitive user interface. Crucial for creating modern, consistent, and user-friendly interfaces.
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.
An environment closer to production where final testing and validation occur. Crucial for ensuring that products are ready for production deployment.
The practice of developing artificial intelligence systems that are fair, transparent, and respect user privacy and rights. Crucial for ensuring that AI technologies are developed responsibly and ethically.
Culture, Automation, Lean, Measurement, and Sharing (CALMS) is a framework for guiding the implementation of DevOps practices. Important for fostering a DevOps culture and improving collaboration, efficiency, and continuous improvement in product design teams.
The process of maintaining, updating, and improving a product or system after its initial deployment to ensure its continued functionality, performance, and relevance to users. Crucial for ensuring long-term user satisfaction, product reliability, and adaptation to changing user needs and technological advancements.
Redundant, outdated, or unnecessary code or design elements that accumulate over time in a system. Important for identifying and removing to maintain clean, efficient, and maintainable systems and interfaces.
ARIA attributes that describe the current state of an element, such as whether it is selected or expanded. Crucial for providing context and improving navigation for users with disabilities.
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.
Specific conditions that must be met for a product or feature to be considered complete and satisfactory. Essential for product managers and developers to ensure clarity and alignment on what constitutes "done".
The process of evaluating the impact and success of a feature after its release, based on predefined metrics and user feedback. Crucial for understanding the effectiveness of features and informing future development.
A common solution to a recurring problem that is ineffective and counterproductive, often resulting in negative consequences. Important for recognizing and avoiding poor design practices and improving overall design quality.
3-Tiered Architecture is a software design pattern that separates an application into three layers: presentation, logic, and data. Crucial for improving scalability, maintainability, and flexibility in software development.
An inference method used in AI and expert systems where reasoning starts from known facts and applies rules to derive new facts. Important for developing intelligent systems that can build knowledge and solve problems incrementally in digital products.
A preliminary testing phase conducted by internal staff to identify bugs before releasing the product to external testers or customers. Crucial for ensuring product quality and functionality before broader release.
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.
Product-Oriented Delivery (POD) is a methodology that focuses on organizing teams around products rather than projects. This approach is essential for enhancing product focus, agility, and cross-functional collaboration.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes. Important for ensuring fairness and accuracy in AI systems.
The process of creating and developing new products, focusing on form, function, usability, and aesthetics to meet user needs. Crucial for developing products that are both functional and appealing to users.
An estimation technique used in Agile software development where team members assign story points to tasks through consensus-based discussion. Essential for collaborative and accurate project planning and estimation.
A preliminary version of a project or system used to test and validate its feasibility before full-scale implementation. Crucial for identifying potential issues and making necessary adjustments to improve the final product.
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.
A research method that involves repeated observations of the same variables over a period of time. Crucial for understanding changes and developments over time.
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.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing. Important for understanding and mitigating errors in AI systems.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance. Fundamental for developing and evaluating machine learning models in digital product design.
The ability to intuitively understand what makes a product successful, including market needs, user experience, and competitive landscape. Important for making informed decisions that lead to successful product development.
A quick and cost-effective usability testing method where feedback is gathered from users in informal settings, often in public places. Useful for gaining rapid insights into user behavior and improving designs iteratively.
A strategic approach where decisions and direction are set by top-level management and flow down through the organization, often aligned with overarching business goals. Crucial for ensuring strategic alignment and coherence across all levels of an organization.
A psychological perspective that emphasizes the study of the whole person and the uniqueness of each individual, focusing on concepts such as self-actualization and personal growth. Crucial for understanding and designing experiences that cater to individual user needs and potential.
A role responsible for overseeing multiple product managers and ensuring alignment and collaboration across different product lines within an organization. Crucial for coordinating efforts and driving strategic product development.
A cognitive bias where new evidence or knowledge is automatically rejected because it contradicts established norms or beliefs. Important for recognizing resistance to change and designing strategies to encourage openness to new ideas among designers.
A problem-solving method that involves asking "why" five times to identify the root cause of a problem. Useful for designers and product managers to uncover underlying issues and improve processes and solutions.
Feature Adoption Rate (FAR) is the percentage of users who adopt a new feature within a specified time period after its release. This metric is important for measuring the success and impact of new product features.
Technologies that enable machines to understand and interpret data on the web in a human-like manner, enhancing connectivity and usability of information. Essential for improving data interoperability and accessibility on the web.
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.
A type of software testing that ensures that recent changes have not adversely affected existing features. Essential for maintaining software quality and reliability.
Data that is organized in a predefined manner, making it easier for search engines to understand and display rich snippets in search results. Essential for enhancing search results and improving SEO.
Perceivable, Operable, Understandable, and Robust (POUR) are the four main principles of web accessibility. These principles are essential for creating inclusive digital experiences that can be accessed and used by people with a wide range of abilities and disabilities.
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.
The design of user interfaces for machines and software, such as computers, mobile devices, and other electronic devices, with the focus on maximizing usability and the user experience. Essential for ensuring that digital products are intuitive and easy to use.
Newly developing patterns or shifts in technology, behavior, or design that have the potential to influence future practices and strategies. Important for staying ahead of the curve and adapting to changes in the industry.
A time-constrained, intensive process that helps teams quickly design, prototype, and test ideas. Important for rapidly developing and validating design solutions.
Weighted Shortest Job First (WSJF) is a prioritization method used in agile and lean methodologies to maximize value by comparing the cost of delay to the duration of tasks. Essential for effectively prioritizing work to ensure the highest value tasks are completed first.
The observed tendency of humans to quickly return to a relatively stable level of happiness despite major positive or negative events or life changes. Useful for designing experiences that maintain user engagement and satisfaction over time.
A problem-solving approach that involves breaking down complex problems into their most basic, foundational elements. Crucial for developing innovative solutions by understanding and addressing core issues.
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.
A role in Agile project management responsible for ensuring the team follows Agile practices, facilitating meetings, and removing obstacles to progress. Essential for supporting Agile teams and ensuring successful implementation of Scrum practices.
A machine learning-based search engine algorithm used by Google to help process search queries and provide more relevant results. Important for understanding modern SEO practices and how search engines interpret and rank web content.
The planning, development, and management of content to meet business and user needs, ensuring consistency and effectiveness across all channels. Essential for creating cohesive and impactful content that aligns with business goals and user needs.
An environment that replicates the production environment, used for final testing before deployment. Crucial for ensuring that digital products are thoroughly tested and perform as expected before going live.
A design process model that outlines four phases: Discover, Define, Develop, and Deliver, promoting both divergent and convergent thinking. Crucial for structuring the design process and fostering both creativity and precision.
The ability to use learned knowledge and experience, often increasing with age and accumulated learning. Important for understanding how expertise and knowledge accumulation impact design and decision-making.
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 clear, concise description of the issue(s) that need to be addressed, focusing on the specific challenge and its impact. Essential for guiding problem-solving efforts and ensuring a clear understanding of the issue at hand.
Numeronym for the word "Interoperability" (I + 14 letters + Y), the ability of different systems, devices, or applications to work together and exchange information effectively without compatibility issues. Crucial for ensuring compatibility and integration between systems.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment. Important for developing systems that can respond to real-time changes and improve over time.
The integration and application of knowledge and skills from multiple disciplines to enhance understanding and innovation. Crucial for fostering a holistic approach to problem-solving and design.
Web Content Accessibility Guidelines (WCAG) are a set of guidelines developed by WAI to make web content more accessible. Essential for ensuring that websites are usable by individuals with disabilities, thereby promoting inclusivity and compliance with accessibility standards.