CPC G06Q 30/0283 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01)] | 18 Claims |
10. An intelligent sourcing engine for sourcing participants for a usability study comprising:
a processor in communication with non-transitory memory;
a study database stored in the non-transitory memory containing study parameters including the type of study and required participant attributes;
a study estimation server stored in the non-transitory memory and when executed by the processor for querying a plurality of panel sources for potential participants and pricing data, and estimating a time in field for the study, meeting the minimum participant number, type of study and required participant attributes, based on the panel sources;
a selection server stored in the non-transitory memory and when executed by the processor for selecting a subset of the panel sources by minimizing the pricing while ensuring the estimated time in field is less than the maximum time-in-field determining an available number of participants in each panel source, calculating a pool size in each panel source of participants from the available number of participants which historically have engaged in the type of study and within the time-to-field of the study, ranking the plurality of panel sources by the pricing data, and comparing the pool size of each panel source to the required number of participants in order of the ranking until the aggregation of the pool sizes exceeds the required number of participants; and
an administration server stored in the non-transitory memory and when executed by the processor for receiving participants from the subset of the panel sources, fielding the participants in the study, and monitoring participant outcomes by inserting a virtual tracking code to a web site targeted for the study at a local machine to each participant, wherein the tracking code collects data including at least one of number of clicks, key strokes, keywords, scrolls, and time on tasks.
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