Action Priority Matrix
A tool used to prioritize tasks based on their impact and effort, helping to focus on high-value activities. Important for prioritizing tasks effectively to maximize impact with minimal effort.
A tool used to prioritize tasks based on their impact and effort, helping to focus on high-value activities. Important for prioritizing tasks effectively to maximize impact with minimal effort.
A field research method where researchers observe and interview users in their natural environment to understand their tasks and challenges. Crucial for gaining authentic insights into user behavior and needs.
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 decision-making tool that helps prioritize tasks or projects based on specific criteria, such as impact and effort. Essential for effective project management and resource allocation.
A usability evaluation method where evaluators walk through tasks to identify potential user difficulties. Essential for improving user interfaces and ensuring usability.
A principle stating that 80% of effects come from 20% of causes, often used to prioritize tasks and identify key areas of focus. Essential for prioritizing tasks and focusing efforts on the most impactful areas.
A relative estimation technique used in Agile project management to quickly assess the size and complexity of tasks by assigning them T-shirt sizes (e.g., small, medium, large). Crucial for efficient project planning and workload management.
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language. Essential for developing applications like chatbots, language translation, and sentiment analysis.
Happiness, Engagement, Adoption, Retention, and Task (HEART) is a framework used to measure and improve user experience success. Important for systematically evaluating and enhancing user experience.
The path taken by a user to complete a task on a website or application, including all the steps and interactions along the way. Essential for designing intuitive and efficient user experiences.
A mode of thinking, derived from Dual Process Theory, that is slow, deliberate, and analytical, requiring more cognitive effort and conscious reasoning. Crucial for designing complex tasks and interfaces that require thoughtful decision-making and problem-solving, ensuring they are clear and logical for users.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. Essential for predicting outcomes and understanding relationships between variables in digital product design and analysis.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables. Essential for predicting categorical outcomes in digital product analysis and user behavior modeling.
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.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability. Essential for state-of-the-art NLP applications.
The process of defining and creating algorithms to solve problems and perform tasks efficiently. Fundamental for software development and creating efficient solutions.
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.
Key Performance Indicators (KPIs) are quantifiable measures used to evaluate the success of an organization, employee, or project in meeting objectives for performance. Essential for tracking progress, making informed decisions, and aligning efforts with strategic goals across various business functions, including product design and development.
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data. Important for automating creative processes and generating novel outputs.
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.