Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps. Essential for structured thinking and comprehensive analysis in problem-solving.
The study of narrative and narrative structure and the ways that these affect our perception. Useful for understanding and applying narrative techniques in design and communication.
A structured framework for product design that stands for Comprehend the situation, Identify the customer, Report customer needs, Cut through prioritization, List solutions, Evaluate trade-offs, and Summarize recommendations. Essential for guiding product managers through a comprehensive design process.
A structured classification of risks into categories, helping organizations identify, assess, and manage different types of risks. Important for understanding and managing risks effectively within an organization.
The study of the practices and possibilities of music, covering elements like rhythm, melody, harmony, and form. Essential for understanding musical structure, composition, and performance.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Essential for driving data-informed decision making, predicting trends, and uncovering valuable insights in digital product design and development.
The study of social relationships, structures, and processes. Important for understanding the impact of social dynamics on user behavior and designing for social interactions.
A statistical method used to identify underlying relationships between variables by grouping them into factors. Crucial for simplifying data and identifying key variables in research.
A structured communication technique originally developed as a systematic, interactive forecasting method which relies on a panel of experts. Important for gathering expert opinions and making informed decisions.
The overall market environment in which a business operates, including the strengths and weaknesses of competitors. Important for understanding the market context and identifying opportunities and threats.
The study of the nature, structure, and variation of language, including phonetics, phonology, syntax, semantics, and pragmatics. Essential for understanding how language influences communication and user interactions in digital products.
A usability testing method that measures the first click users make on a webpage to determine if they can successfully navigate to their goal. Essential for evaluating and improving the navigational structure of a website.
A research approach that starts with a theory or hypothesis and uses data to test it, often moving from general to specific. Essential for validating theories and making informed decisions based on data.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks. Valuable for creating interpretable models in digital product design and user behavior analysis.
A philosophical approach to culture and literature that seeks to confront the social, historical, and ideological forces and structures that produce and constrain it. Valuable for analyzing and addressing power dynamics and biases in design.
The use of HTML tags to convey the meaning of content on web pages, improving accessibility and search engine optimization. Essential for creating accessible and SEO-friendly web content.
Market Requirements Document (MRD) is a comprehensive document that outlines the market's needs, target audience, and business objectives for a product. It serves as a crucial tool for aligning product development efforts with market demands and business goals, ensuring that the final product meets customer needs and achieves market success.
Acquisition, Activation, Retention, Referral, and Revenue (AARRR) is a metrics framework for assessing user engagement and business performance. Important for product managers to understand customer lifecycle and optimize business growth.
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 brainstorming technique that involves listing all possible attributes of a product or problem to generate new ideas and solutions. Useful for generating creative solutions and improving product features.
An interdisciplinary study of systems, examining the complex interactions and relationships between components within a whole. Crucial for understanding and designing complex, interconnected systems.
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.
The process of assigning target keywords to specific pages on a website to optimize each page for relevant search terms and improve overall SEO strategy. Crucial for creating a structured and effective SEO strategy.
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.
Enterprise Architecture (EA) is a strategic framework used to align an organization's business strategy with its IT infrastructure. Crucial for optimizing processes, improving agility, and ensuring that technology supports business goals.
A usability inspection method where experts review a user interface against a set of heuristics to identify usability issues. Crucial for identifying usability problems early in the design process.
A cognitive process where ideas are brought together to find a single, best solution to a problem. Important for problem-solving and decision-making in design processes.
Software Requirements Specification (SRS) is a detailed document that outlines the functional and non-functional requirements of a software system. Crucial for ensuring clear communication and understanding between stakeholders and the development team.
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.
The process of planning, executing, tracking, and analyzing marketing campaigns. Essential for ensuring the success and efficiency of marketing campaigns.
A sorting algorithm that distributes elements into a number of buckets, sorts each bucket individually, and then combines the buckets to get the sorted list. Useful for understanding more advanced algorithmic techniques and their applications.
A detailed description of a system's behavior as it responds to a request from one of its stakeholders, often used to capture functional requirements. Essential for understanding and documenting how users will interact with a system to achieve their goals.
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 approach a company takes to manage and market its portfolio of products, ensuring each product supports the overall business strategy. Important for optimizing the range of products offered to maximize market reach and profitability.
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.
Product Development is the process of bringing a new product to market or improving an existing one. Crucial for innovation, meeting customer needs, and maintaining a competitive edge.
Minimum Viable Experience (MVE) is the simplest version of a product that delivers a complete and satisfying user experience while meeting core user needs. Essential for rapidly validating product concepts and user experience designs while ensuring that even early versions of a product provide value and a positive impression to users.