657 topics found for:

“assistive technology”

Vanity Metrics

Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes. Important for distinguishing between metrics that drive real business value and those that do not.

Iconography

The visual images, symbols, or modes of representation collectively associated with a subject, often used in design to communicate ideas quickly and effectively. Important for creating cohesive and meaningful visual systems.

Generative Design

An iterative design process that uses algorithms and computational tools to generate a wide range of design solutions based on defined constraints and goals. Crucial for exploring innovative and optimized design solutions.

ERP

Enterprise Resource Planning (ERP) are integrated software systems that manage business processes across various departments, such as finance, HR, and supply chain. Essential for improving operational efficiency and providing a unified view of business operations.

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.

BML

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.

Ontology

A structured framework for organizing information, defining the relationships between concepts within a specific domain to enable better understanding, sharing, and reuse of knowledge. Important for creating clear and consistent data models, improving communication, and enhancing the efficiency of information retrieval and management.

TQM

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.

Value Risk

The risk that the product being developed will not deliver sufficient value to the users, meaning it won't meet their needs or solve their problems. Critical for ensuring the product will be desirable and valuable to the users, which is essential for its success.

Storyboard

A visual representation of a sequence of events or user interactions, used to plan and communicate the flow of a narrative or process. Important for visualizing and communicating design concepts and user journeys.

Scanning Pattern

Common reading patterns users follow when scanning web content, such as the F-pattern, where users read across the top and then scan down the left side. Important for designing layouts that align with natural reading behaviors, improving content engagement and usability.

Constancy

The perception of objects as unchanging despite changes in sensory input, such as changes in lighting, distance, or angle. Important for understanding user perception and designing stable visual experiences.

Value Innovation

The simultaneous pursuit of differentiation and low cost, creating a leap in value for both the company and its customers, often associated with Blue Ocean Strategy. Important for developing strategies that can open up new markets and create significant competitive advantages.

CTR

Click-Through Rate (CTR) measures the percentage of users who click on a specific link out of the total users who view a page, email, or advertisement. This metric is important for assessing the effectiveness of digital marketing campaigns and user engagement.

Story Mapping

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.

Ontology vs. Taxonomy

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.