Product Requirements is a document that outlines the essential features, functionalities, and constraints of a product. Crucial for guiding the development process and ensuring all stakeholders have a shared understanding of the product's goals.
Statistical data relating to a particular population and groups within it. Crucial for market research and understanding target audiences.
The process of defining and creating algorithms to solve problems and perform tasks efficiently. Fundamental for software development and creating efficient solutions.
A marketing concept that describes brands that inspire loyalty beyond reason, creating an emotional connection with consumers. Crucial for building strong brand loyalty and emotional engagement.
The body of practical guidance to color mixing and the visual effects of specific color combinations. Crucial for understanding color relationships and creating effective visual designs.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments. Essential for making data-driven decisions and validating hypotheses with statistical evidence.
A mindset and approach that embodies the entrepreneurial spirit, passion for improvement, and deep sense of ownership typically associated with a company's founders. Essential for maintaining agility, innovation, and customer-centricity as organizations grow and mature.
The process of integrating knowledge into computer systems to solve complex problems, often used in AI development. Important for developing intelligent systems that can perform complex tasks and support decision-making in digital products.
A small, cross-functional team of 6-12 people focused on delivering a specific product feature or component. Essential for agile development, allowing for rapid iteration and close collaboration among team members.
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing. Crucial for ensuring accurate and reliable data inputs in design and decision-making processes.
The process of investigating and experimenting with new technologies to understand their potential applications and benefits. Essential for innovation and staying ahead in a rapidly changing technological landscape.
Representational State Transfer (REST) is an architectural style for designing networked applications based on stateless, client-server communication. Essential for building scalable and efficient web services.
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.
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.
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design. Important for understanding and mitigating biases in survey and research data.
The study of the interplay between individuals and their surroundings, including built environments and natural settings. Essential for designing spaces that enhance well-being and productivity.
A cognitive bias where people underestimate the complexity and challenges involved in scaling systems, processes, or businesses. Important for understanding the difficulties of scaling and designing systems that address these challenges.
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 test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human. Important for evaluating the intelligence of AI systems.
The SEO value or authority passed from one website to another through hyperlinks, influencing the search engine ranking of the linked site. Important for understanding and leveraging the impact of links on SEO performance.
Objectives and Key Results (OKR) is a goal-setting framework for defining and tracking objectives and their outcomes. Essential for aligning organizational goals, improving focus and engagement, and driving measurable results across teams and individuals.
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.
A professional responsible for overseeing the planning and execution of a product launch, ensuring alignment with strategic goals and successful market entry. Essential for managing the complexities of launching a new product and coordinating cross-functional teams.
A logical fallacy that occurs when one assumes that what is true for a part is also true for the whole. Important for avoiding incorrect assumptions in design and decision-making.
Impact, Confidence, and Ease of implementation (ICE) is a prioritization framework used in product management to evaluate features. Essential for making informed and strategic decisions about feature development and prioritization.
A visual tool for organizing information, typically starting with a central concept and branching out to related ideas and details. Essential for brainstorming, planning, and organizing complex information.
Products are individual items or services designed to meet specific customer needs, while programs are collections of related projects and products managed together to achieve broader strategic goals. Essential for understanding the different scopes and objectives involved, helping to manage and align efforts effectively within an organization.
A sales technique used to uncover a prospect's pain points through a series of targeted questions. Important for understanding customer needs and driving effective sales conversations.
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.
Ontology is a comprehensive model that includes entities, their attributes, and the complex relationships between them, while taxonomy is a hierarchical classification system that organizes entities into parent-child relationships. Essential for understanding the depth and scope of data organization, helping to choose the appropriate structure for information management and retrieval.