Abstract: An analytics platform may generate one or more user interfaces based on the set of testing parameters. The analytics platform may provide the one or more user interfaces. The analytics platform may receive first test information corresponding to first respondents. The analytics platform may identify, based on the first test information and based on information identifying particular respondents of the first respondents, characteristic attributes of the particular respondents. The analytics platform may train, based on the values of the characteristic attributes and performance information associated with the first respondents, a predictive model. The analytics platform may obtain the second test information corresponding to the one or more second respondents. The analytics platform may determine the predicted performance information associated with the one or more second respondents using the predictive model. The analytics platform may perform an action based on the predicted performance information.

Abstract: An analytics platform may generate one or more user interfaces based on the set of testing parameters. The analytics platform may provide the one or more user interfaces. The analytics platform may receive first test information corresponding to first respondents. The analytics platform may identify, based on the first test information and based on information identifying particular respondents of the first respondents, characteristic attributes of the particular respondents. The analytics platform may train, based on the values of the characteristic attributes and performance information associated with the first respondents, a predictive model. The analytics platform may obtain the second test information corresponding to the one or more second respondents. The analytics platform may determine the predicted performance information associated with the one or more second respondents using the predictive model. The analytics platform may perform an action based on the predicted performance information.

Abstract: Personality, behavior and competency assessment data is obtained for a sales person (or group of sales persons), particularly via a computer-implemented interface. The resulting overall individual (or aggregated) assessment data is then compared with high sales performer benchmark data to identify performance improvement opportunities that, in turn, are used to identify at least one specific action for the sales person (or group of sales persons). Such techniques may be use with sales management personnel as well. Reports based on the assessment results and comparisons thereof with high sales performer benchmark data may be created and provided to the individuals being assessed or persons associated with the individual sales persons. The personality, behavior and competency assessment data may also be used to identify predictive characteristics of high sales performers that may be subsequently used to predict other characteristics of individuals or groups.