Empirical data are essential for evidence-based consumer policy. To provide consumer policy-makers with a strong basis for decision-making, the data must be appropriately analyzed, processed and rendered interpretable.

For our clients, we apply appropriate statistical analysis methods to draw reliable conclusions from the empirical database – often collected via consumer surveys – and derive valid recommendations for action. In addition to descriptive analyses, the methods used include multivariate techniques such as regression, factor and causal analyses or variance and distribution tests. For the evaluation of interviews and focus groups we mainly use qualitative content analysis.