Attitudinal data is information gathered about people's opinions, beliefs, values, and motivations, as opposed to what they actually do. In qualitative and mixed-method research, attitudinal data is the primary currency: it explains the why behind behavioral patterns that analytics alone cannot decode. Researchers collect it through interviews, focus groups, surveys, and ethnographic observation, then synthesize it into findings that inform brand positioning, product development, and messaging strategy. Because attitudinal data reflects self-reported experience, the quality of the questioning and the depth of the probing determine how useful the resulting understanding actually is. Shallow questioning produces shallow data.