A visual tool used to map out the components and features of a product, showing how they relate to each other and to the overall product vision. Useful for visualizing and planning product development, ensuring all elements are aligned with the product vision.
Product Strategy is a framework that outlines how a product will achieve its business goals and satisfy customer needs. Crucial for guiding product development, prioritizing features, and aligning the team around a clear vision.
A systematic process for determining and addressing needs or gaps between current conditions and desired outcomes. Important for identifying user requirements and guiding the development of digital products that meet those needs.
A research process used to identify and understand the underlying needs of users to inform the design of products and services. Essential for creating user-centered designs that address real user needs.
A problem-solving process that includes logical reasoning, pattern recognition, abstraction, and algorithmic thinking. Important for developing efficient and effective solutions in digital product design and development.
The process of systematically collecting, analyzing, and acting on feedback from users to improve products and services. Essential for ensuring that user insights are effectively integrated into the development process.
A strategic planning tool that focuses on outcomes and objectives rather than specific features, allowing for flexibility in achieving goals. Important for maintaining strategic focus and adaptability in product development.
A central location where data is stored and managed. Important for ensuring data consistency, accessibility, and integrity in digital products.
A team responsible for delivering specific features or enhancements, typically working on predefined requirements and focusing on the implementation of assigned features. Important for executing well-defined tasks and ensuring timely delivery of specific functionalities within a product.
A research approach that starts with observations and develops broader generalizations or theories from them. Useful for discovering patterns and generating new theories from data.
A metaphor for a balanced approach to product development, considering three core aspects: business viability, technical feasibility, and user desirability. Crucial for ensuring comprehensive and balanced product decisions.
The practice of promoting and representing the needs, interests, and rights of users in the design and development process. Important for ensuring that user needs and perspectives are prioritized in product design 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.
A research method that involves forming a theory based on data systematically gathered and analyzed. Useful for developing design theories and solutions that are directly grounded in user research and data.
The perseverance and passion for long-term goals, often seen as a key trait for success. Important for understanding and fostering resilience and persistence in design and product development.
A collaborative process spanning multiple stages of product/service development where stakeholders, including users, actively participate in the design and development of products or services. Crucial for creating products that meet user needs and foster innovation.
A research method used to determine how desirable a product or feature is to potential users. Crucial for understanding user preferences and guiding product development.
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback. Crucial for enhancing the performance and reliability of AI-driven design solutions by fostering continuous learning and improvement.
The practice of guiding and inspiring teams to develop and deliver successful products, often involving strategic vision, team management, and innovation. Crucial for driving product success and fostering a culture of innovation and excellence.
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.
Goal-Question-Metrics (GQM) is a framework for defining and interpreting software metrics by identifying goals, formulating questions to determine if the goals are met, and applying metrics to answer those questions. This framework is essential for measuring and improving software quality and performance.
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 long-term plan for the development and management of a brand to achieve specific goals. Essential for guiding brand development and ensuring alignment with business objectives.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data. Essential for monitoring and improving system performance and user experience.
A high-level description of the future state of a product, outlining its purpose, target audience, and key differentiators. Essential for providing direction and inspiration for product development efforts.
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 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 strategic plan that outlines the goals, milestones, and steps needed to deliver a product that achieves desired outcomes incrementally, providing a clear path forward. Essential for guiding product development and ensuring alignment with strategic objectives.
Total Quality Management (TQM) is a comprehensive management approach focused on continuous improvement in all aspects of an organization. Essential for ensuring high-quality products and services and achieving customer satisfaction.
Information provided by users about their experience with a product, used to inform improvements and adjustments. Crucial for continuous improvement and user-centered design.
A prioritization technique where stakeholders use a limited budget to "buy" features they believe are most valuable, helping to prioritize the development roadmap. Useful for involving stakeholders in the decision-making process and aligning development priorities with business value.
Build-Measure-Learn (BML) is a feedback loop used in Lean Startup methodology where a product is built, its performance is measured, and learnings are used to make improvements. Essential for iterating quickly and efficiently to create products that better meet user needs and market demands.
A prioritized list of work items or tasks that need to be completed, commonly used in agile project management. Essential for managing tasks and ensuring that development teams focus on the most important work items.
A technique for creating interactive web applications by exchanging data with the server in the background without reloading the entire page. Essential for enhancing user experience by making web applications more dynamic and responsive.
A problem-solving method that explores all possible solutions by examining the structure and relationships of different variables. Useful for generating innovative design solutions and exploring a wide range of possibilities in digital product development.
A visual exercise that helps product teams understand and prioritize features by organizing user stories into a cohesive narrative that aligns with user journeys and goals. Essential for planning and prioritizing product features and ensuring alignment with user needs.
A group of individuals with similar skills or expertise, spread across different squads, who come together to share knowledge and best practices. Crucial for maintaining technical excellence and fostering professional development within specific disciplines.
The practicality of implementing a solution based on technical constraints and capabilities. Crucial for evaluating the viability of design and development projects.
A practice of performing testing activities in the production environment to monitor and validate the behavior and performance of software in real-world conditions. Crucial for ensuring the stability, reliability, and user satisfaction of digital products in a live environment.
A prioritized list of ideas and potential features for future product development, embodying a collective vision for innovation and improvement. Essential for managing creative input and maintaining an innovation pipeline that aligns with the team's entrepreneurial spirit and shared commitment to product excellence.
A group of stakeholders that regularly meet to discuss and guide the development and strategy of a product or product line. Crucial for ensuring diverse input and alignment on product strategy and decisions.
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible. Crucial for building trust and ensuring the responsible use of AI technologies.
A technique used to prioritize product features based on the potential impact on customer satisfaction and business goals. Essential for aligning product development efforts with user needs and business objectives.
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.
ARIA attributes that define additional characteristics of elements, such as roles and relationships. Important for enhancing the accessibility and usability of web applications.
Adhering to laws, regulations, and guidelines relevant to business operations and product development. Crucial for ensuring products and practices meet legal and ethical standards.
A meeting at the end of a sprint where the development team presents their completed work to stakeholders. Crucial for gathering feedback and demonstrating progress.
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions. Important for developing intelligent systems that can solve complex problems by working from desired outcomes.
An enhanced version of the SCAMPER technique that includes additional prompts to further stimulate creativity and innovation. Useful for expanding the scope of ideation and generating more diverse ideas.
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation. Crucial for improving the relevance and accuracy of AI-generated responses.
A professional responsible for the strategy, roadmap, and feature definition of a product or product line, ensuring it meets market needs and business goals. Essential for guiding the development and success of products from conception to market.
The practice of managing and resolving incidents that disrupt normal operations, ensuring minimal impact on business activities. Essential for maintaining service reliability and managing operational disruptions effectively.
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 training an AI model on a large dataset before fine-tuning it for a specific task. Crucial for building robust AI models that perform well on various tasks.
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.
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 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.
The systematic process of capturing, evaluating, and implementing ideas to drive innovation, reflecting a collective commitment to continuous improvement and product excellence. Essential for harnessing team creativity and maintaining the entrepreneurial spirit that characterizes successful product development.
The area within a market where unmet needs or problems present potential for new products or services. Essential for identifying new business opportunities.
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.