Interpretation What researchers see and hear is just the starting point—all data must be interpreted for meaning before its design implications can be understood. From the data (what was heard or observed), researchers make a hypothesis (or interpretation) about what that data means to the participant. It is critical to double-check your interpretations while on-site with the participant; if this opportunity is missed, the misinterpretation could lead to failed design implications and ideas.