Top-Down IA
An approach to information architecture that begins with high-level structures and breaks them down into detailed components.
An approach to information architecture that begins with high-level structures and breaks them down into detailed components.
A design principle that suggests a pattern for how people read a webpage, dividing it into four quadrants and emphasizing the importance of the top-left and bottom-right areas.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue.
The core values outlined in the Agile Manifesto, including individuals and interactions, working software, customer collaboration, and responding to change.
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.
A high-level description of the future state of a product, outlining its purpose, target audience, and key differentiators.
A strategic plan that outlines the goals, milestones, and steps needed to deliver a product that achieves desired outcomes incrementally, providing a clear path forward.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.