Survey data often presents uncertainty because of missing values or situations that do not allow the measure of a given variable, for instance inability/reluctance to answer. On the other side, the sensitivity of questions may affect the quality of data, as well as its reliability and interpretation. Intuitively, uncertainty in such kind of data could be related to some kind of criticality, more concretely to topic sensitivity in this specific case. This paper reports an empirical study conducted on a subset of the World Values Survey (WVS) aimed at the assessment of the relationship between uncertainty and topic sensitivity in survey data. The experiment shows a fundamental convergence and, although results cannot be generalised because of the limited number of experiments conducted, it establishes the fundamentals for a more systematic approach in the context of the current technological landscape, which offers the capabilities to enable human-centric and fully automated solutions. Last but not least, the critical analysis looking at current limitations has defined a roadmap to further enhance the proposed method aiming at a broader and more consolidated experimental and validation framework.