Predictive Design
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals.
Crit (Design Critique) is a structured feedback session where designers present their work and receive constructive feedback from peers.
A research method that involves forming a theory based on data systematically gathered and analyzed.
The systematic computational analysis of data or statistics to understand and improve business performance.