A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean. Important for identifying outliers and understanding variability in data, aiding in quality control and performance assessment in digital product design.
Plan-Do-Check-Act (PDCA) is an iterative four-step management method used for continuous improvement of processes and products. Essential for quality control and operational efficiency.
A Japanese term for "mistake-proofing," referring to any mechanism or process that helps prevent errors by design. Crucial for designing systems and processes that minimize the risk of human error.
A comprehensive review of a brand's design assets and practices to ensure consistency and effectiveness. Important for maintaining a cohesive and effective brand identity.
Define, Measure, Analyze, Improve, and Control (DMAIC) is a data-driven improvement cycle used in Six Sigma. Crucial for systematically improving processes and ensuring quality in digital product development.
A data-driven methodology aimed at improving processes by identifying and removing defects, and reducing variability. Crucial for enhancing the quality and efficiency of digital product development processes.
An environment used for testing software to identify issues and ensure quality before production deployment. Important for detecting and fixing bugs to ensure the software's reliability and performance.
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 development environment where software is created and modified. Crucial for allowing developers to build and experiment with new features.
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.
The condition in which two or more versions of a product or system offer the same features and functionalities, ensuring consistency and uniformity across different platforms or updates. Important for providing a consistent user experience, reducing confusion, and ensuring all users have access to the same capabilities regardless of the platform they use.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean. Important for understanding the distribution of data and making predictions about data behavior in digital product design.
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.
Feature Driven Development (FDD) is an agile methodology focused on designing and building features based on client-valued functionality. Essential for delivering client-valued features efficiently and effectively.
Also known as feature creep, the continuous addition of new features to a product, often beyond the original scope, leading to project delays and resource strain. Important for managing project scope and ensuring timely delivery.
The default scaling factor applied by a device to render content at its optimal size and resolution. Crucial for ensuring visual clarity and consistency on various devices.
Joint Application Development (JAD) is a collaborative approach to gathering requirements and designing solutions in software development projects. It facilitates rapid decision-making and consensus-building by bringing together key stakeholders, including users, developers, and project managers, in structured workshop sessions.
Application Lifecycle Management (ALM) is the process of managing an application's development, maintenance, and eventual retirement throughout its lifecycle. Important for ensuring the sustainability and effectiveness of digital products over time.
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.
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 range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter. Essential for making inferences about population parameters and understanding the precision of estimates in product design analysis.
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution. Important for making inferences about population parameters and ensuring the validity of statistical tests in digital product design.
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior. Crucial for detecting fraud, errors, or other significant deviations in various contexts.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values. Essential for understanding data spread and variability, which helps in making informed decisions in product design and analysis.