A/B testing is a research method that allows you to evaluate two alternatives of a design to determine which of them is more effective. A/B testing, sometimes referred to a split-tests, divides users into two groups and each of them is presented a different variant. Results and analysis can provide insight into user behavior and peculiarities of the target users and can assist in validating design decisions.
Accessibility analysis is the process of measuring and documenting the usability and inclusion of a website, app or other design projects, regardless of a user’s special needs. Common concerns could include visual, motor, auditory, speech, or cognitive disabilities. Specifically, ISO defines usability as the “extent to which a product can be used by specified users to achieve specified goals effectively, efficiently and with satisfaction in a specified context of use.”
Affinity diagrams are a UX method to help you make sense of large amounts of information. It is a versatile practice that assists in clustering information based on relationships, connections, or common themes. Post-it notes or index cards are typically used and can be grouped and reorganized as teams analyze the information. This transforms analysis into a tangible visualization and synthesis for design teams.
Brainstorming is the most common and frequent practiced form of idea generation and project initiation. It represents the root of creativity and alternative thinking. Groups or teams typical isolate themselves and collectively presents proposed ideas to a specific problem. When ideas are tossed out for all to hear, this often triggers additional and alternative ideas from other participants. The objective is to leverage the collective creativity and problem-solving abilities of a group.
Card sorting is a method used to assist in the organization and understanding of a website, app or project. Topics are written on index cards. Users then organize these topics into categories or groups that make sense to them. This UX activity helps design teams understand user expectations. Upon analysis, it can aid in the content organization and information architecture that best matches a user’s mental model.