HUGO Analytics Information

HUGO Analytics is the leader in crowd-sourcing, jury tests, and data analytics. Based on our research begun at Harvard, our methods published in the New England Journal of Medicine, and our findings featured on NBC News, Wall Street Journal, and NPR, this team uses randomized experiments and robust statistical methods to predict the best strategy for a case. Over nearly a decade of scholarly and commissioned research, we have tested dozens of cases with over 10,000 respondents. We conduct an initial pilot study. With about 100 respondents, this quick and early look at the case provides a baseline, finds weak points, and identifies key questions for study. We create an in-depth juror experience. For our primary investigation, respondents will spend about 30 minutes watching a rich case presentation video, including key testimony, documents, or video evidence. They also spend about 15 minutes answering questions about themselves and the case. Rather than collecting reactions to a single version of the case or guessing at strategies, we use true experiments, which allow causal inference. We can test multiple themes, damages demands, alternative expert witnesses, or the effect of settling with some parties, for examples. We reach over a thousand respondents. For the primary investigation, we give you the statistical power to make precise estimates and to identify smaller subsets of jurors who may have strong reactions. We are trained attorneys who understand the need to use the jury instructions and verdict forms that actual jurors will see, because these can matter. We apply behavioral insights to develop trial strategies. Psychological research on how people process information and make decisions has progressed rapidly over the last twenty years. Were experts on the latest work and bring this to bear in developing case strategies. We test custom voir dire questions. In addition to standard demographics, we construct potential questions, test their predictive validity, and can score jurors favorability ...