Survey And Real-World Data: A Winning Combination
Law360, July 14, 2017
According to the Analysis Group team, experimental surveys are especially useful for isolating causal relationships—that is, identifying which factors are effective in influencing consumer decisions, and which have little influence. Analyzing historical transaction data will show what decisions consumers actually made. When used jointly, experimental surveys and empirical analysis can provide cross-validation of evidence on the same topic from two different perspectives and thereby increase its overall reliability.