What is Affinity Mapping?

Affinity Mapping is a technique used in user research to group notes and quotes based on their similarities. This method helps researchers identify underlying themes and patterns in qualitative data, making it easier to analyze and derive insights from user feedback.

When to use Affinity Mapping?

Affinity Mapping should be used when you have a large amount of qualitative data, such as user interviews, survey responses, or observational notes. It is particularly beneficial during brainstorming sessions or when synthesizing user feedback to ensure that important insights are captured and organized logically.

When not to use Affinity Mapping?

Avoid using Affinity Mapping when dealing with quantitative data that requires statistical analysis or when the data set is too small to identify meaningful themes. Additionally, if the goal is to present data in a structured format rather than exploring ideas, other methods may be more appropriate.

What is the anatomy of Affinity Mapping?

The anatomy of Affinity Mapping consists of several key components: a collection of notes or quotes, a collaborative space for grouping these items, and a process for identifying themes through discussion and consensus. Participants typically use sticky notes or digital tools to visually organize the data, enabling a clear view of relationships and insights.