A phenomenographic data analysis sorts qualitatively distinct perceptions which emerge from the data collected into specific "categories of description." The set of these categories is sometimes referred to as an "outcome space."
They are the primary outcomes and are the most important result of phenomenographic research. Phenomenographic categories are logically related to one another, typically by way of hierarchically inclusive relationships, although linear and branched relationships can also occur.