Agile Framework
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.
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.
A methodology that promotes iterative development, collaboration, and flexibility to adapt to changing requirements. Crucial for product managers and development teams to deliver high-quality products efficiently.
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.
A time-boxed period in which Agile teams deliver incremental value in the form of working, tested software and systems. Essential for aligning teams, managing dependencies, and ensuring continuous delivery.
A framework for prioritizing product features based on their impact on customer satisfaction, classifying features into categories such as basic, performance, and delight. Crucial for understanding customer needs and prioritizing features that enhance satisfaction.
A software application that combines elements of both native and web applications, running inside a native container. Important for leveraging the advantages of both web and native technologies, providing a balance of performance and flexibility.
A time-boxed period during which specific work must be completed and made ready for review, used in Agile project management. Crucial for managing workload and ensuring continuous delivery and improvement in Agile projects.
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.
A design principle that suggests dividing an image into nine equal parts using two equally spaced horizontal and vertical lines to create more engaging and balanced compositions. Important for creating visually appealing designs and improving aesthetic quality in visual compositions.
Rich Internet Application (RIA) is a web application that offers interactive and engaging user experiences similar to desktop applications. Essential for providing enhanced functionality and better user interfaces on the web.
The core principles that underpin agile methodologies, focusing on collaboration, flexibility, and customer satisfaction. Crucial for guiding agile practices and ensuring effective project delivery.
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.
Must have, Should have, Could have, and Won't have (MoSCoW) is a method used to prioritize features or tasks. Crucial for effective project management and ensuring focus on essential features.
The process of combining different systems or components in a way that ensures they work together smoothly and efficiently without disruptions. Essential for providing a cohesive user experience and ensuring the reliability of complex systems.
A detailed strategy outlining the timeline, milestones, and deliverables for a product release, ensuring that all activities are aligned and completed on schedule. Essential for coordinating efforts and ensuring a successful product launch.
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.
Dynamic Systems Development Method (DSDM) is an agile project delivery framework focused on delivering business value early and continuously. Essential for ensuring that projects align with business goals and user needs through iterative processes.
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.
The series of stages a product goes through from initial concept to market release, including planning, design, development, testing, and launch. Essential for understanding the full lifecycle of product creation and bringing products to market efficiently.
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.
A simple description of a feature from the perspective of the user, typically used in Agile development to capture requirements and guide development. Crucial for ensuring that development efforts are aligned with user needs and priorities.
The level of sophistication and integration of design practices within an organization's processes and culture. Essential for assessing and improving the effectiveness of design in driving business value and innovation.
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.
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.