Data is information that has been collected and organized for a specific purpose. Data can take many different forms, such as numbers, words, images, or sounds, and can be collected through a variety of methods, such as surveys, experiments, or observations. Data is an important resource in many fields, including science, business, and government, as it allows researchers and decision-makers to analyze and understand complex phenomena and make evidence-based decisions. Data is often processed and analyzed using a variety of tools and techniques, such as statistical software or data visualization software, to identify patterns, trends, and relationships within the data.

Many different types of data can be collected in UX (user experience) research. Some common types of data in UX include:

  • Demographic data: Information about the age, gender, income, education level, and other characteristics of users.
  • Behavioral data: Information about the actions and decisions that users make when interacting with a digital product or service.
  • Attitudinal data: Information about the attitudes, beliefs, and opinions of users.
  • User-generated content: Information that is generated by users, such as product reviews, social media posts, or forum discussions.
  • User analytics: Information that is generated automatically by a digital product or service, such as website traffic data or app usage data.