ARIA
Accessible Rich Internet Applications (ARIA) is a set of attributes that enhance the accessibility of web content for people with disabilities. Essential for making web applications more usable and inclusive.
91 topics found for:
“user settings”
Group Attribution Error
A cognitive bias where people attribute group behavior to the characteristics of the group members rather than the situation. Crucial for understanding team dynamics and avoiding misattribution in collaborative settings.
Secondary Reinforcer
A stimulus that gains reinforcing properties through association with a primary reinforcer, such as money or tokens, which are associated with basic needs. Essential for understanding complex behavior reinforcement strategies and designing effective reward systems.
Product Vision
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.
Breakpoint System
A structured set of breakpoints used to create responsive designs that work seamlessly across multiple devices. Important for maintaining consistency and usability in responsive design.
Expert Evaluation
Also known as Expert Review, a method where experts assess a product or system against established criteria to identify usability issues and areas for improvement. Essential for leveraging expert insights to enhance product quality and usability.
WAI-ARIA
Web Accessibility Initiative รป Accessible Rich Internet Applications (WAI-ARIA) is a set of guidelines for making web content and applications accessible. Essential for ensuring web accessibility and inclusivity for people with disabilities.
Standard Deviation
A statistical measure that quantifies the amount of variation or dispersion of a set of data values. Essential for understanding data spread and variability, which helps in making informed decisions in product design and analysis.
Higher Environment
An environment closer to production where final testing and validation occur. Crucial for ensuring that products are ready for production deployment.
AIoT
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt. Crucial for developing advanced, intelligent products that offer enhanced user experiences and operational efficiencies.
Product Leadership
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.
Product Launch
The introduction of a new product to the market, involving planning, marketing, and distribution efforts to maximize its initial impact. Essential for ensuring a successful market entry and driving early adoption and sales.
Feature-Less Roadmap
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.
Neural Network
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks. Essential for developing advanced AI applications in various fields.
WCAG
Web Content Accessibility Guidelines (WCAG) are a set of guidelines developed by WAI to make web content more accessible. Essential for ensuring that websites are usable by individuals with disabilities, thereby promoting inclusivity and compliance with accessibility standards.
Environmental Psychology
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.
Test Environment
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.
Dublin Core
A set of metadata standards used to describe digital resources, facilitating their discovery and management. Important for ensuring effective organization and retrieval of digital assets in product design and development.
Startup Culture
The set of shared values, practices, and goals that characterize a startup company. Important for fostering innovation, agility, and a collaborative environment within product design teams.
API
Application Programming Interface (API) is a set of tools and protocols that allow different software applications to communicate and interact with each other. Essential for integrating different systems and enabling functionality in digital products.
Alpha Test
A preliminary testing phase conducted by internal staff to identify bugs before releasing the product to external testers or customers. Crucial for ensuring product quality and functionality before broader release.
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.
Worse-Than-Average Effect
A cognitive bias where individuals underestimate their own abilities and performance relative to others, believing they are worse than average. Important for understanding self-perception biases among designers and designing systems that support accurate self-assessment.
Train/Test
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.
Eat the Frog
A productivity technique that involves tackling the most challenging task first thing in the morning. Important for boosting productivity and overcoming procrastination.
Linear Regression
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.
Improvement Kata
A structured routine for continuous improvement based on a scientific approach to problem-solving and process optimization. Crucial for fostering a culture of continuous improvement and innovation within product design teams.
Turing Test
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.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.
Strategic Differentiation
The process of distinguishing a product or service from its competitors in a way that is meaningful to the target market. Important for creating a unique value proposition and gaining a competitive edge.
Cross Validation
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation. Essential for evaluating model performance and preventing overfitting in digital product analytics.