As researchers it is critical that we ensure our data accurately reflect the thinking of the market....in other words, getting to the truth. This is complicated by several factors including limitations of a questionnaire, respondent's lack of attention and the fact that people don't always know what they really want or need. While careful design and methodology can help to minimize these issues (at TRC we believe in using choice questions and shorter surveys) and the use of other data (which can establish the facts), it is impossible to eliminate them.Technology such as eye tracking, bio metrics and facial recognition software can be applied to neuroscience to help us understand more about what respondents are thinking. The trouble is they are often expensive (sometimes getting the whole truth isn't worth the price) and slow down the research process (sometimes a faster less complete answer is better than a slow one). The limited data available also make it difficult to draw good conclusions. An outstanding presentation at the ARF's 75th Annual Conference showed this quite well.