5. The method of claim 1 , further comprising: selecting the set of experts and the updated expanded set of experts from experts that each have higher value metrics scores relative to value metric scores of other unselected experts of the population of known experts and that are indicative of an expertise relevant to at least one question in the plurality of survey questions; automatically the updating value metric scores of the updated expanded set of experts via the programmable device as a function of a degree of correlation of an answer within said response received from the associated expert to an expected answer, wherein the expected answer is a hypothesis answer or a mean answer of a totality of answers received from the experts with respect to a sent question, by: determining that an answer received from a sixth expert has a degree of correlation to the expected answer that is outside of an acceptable variance; and labeling the sixth expert an outlier expert; or decreasing a value metric score of the sixth expert; and repeating steps of selecting the updated set of experts that each have higher value metrics scores relative to value metric scores of other unselected experts of the selected set and that are indicative of an expertise relevant to at least one question in the updated plurality of survey questions, and automatically updating the value metric scores of the expanded updated set of experts as the function of the degree of correlation of the answers to the expected answers, until each question in the updated plurality of survey questions is satisfied and removed.
5. The method of claim 1 , further comprising: selecting the set of experts and the updated expanded set of experts from experts that each have higher value metrics scores relative to value metric scores of other unselected experts of the population of known experts and that are indicative of an expertise relevant to at least one question in the plurality of survey questions; automatically the updating value metric scores of the updated expanded set of experts via the programmable device as a function of a degree of correlation of an answer within said response received from the associated expert to an expected answer, wherein the expected answer is a hypothesis answer or a mean answer of a totality of answers received from the experts with respect to a sent question, by: determining that an answer received from a sixth expert has a degree of correlation to the expected answer that is outside of an acceptable variance; and labeling the sixth expert an outlier expert; or decreasing a value metric score of the sixth expert; and repeating steps of selecting the updated set of experts that each have higher value metrics scores relative to value metric scores of other unselected experts of the selected set and that are indicative of an expertise relevant to at least one question in the updated plurality of survey questions, and automatically updating the value metric scores of the expanded updated set of experts as the function of the degree of correlation of the answers to the expected answers, until each question in the updated plurality of survey questions is satisfied and removed. 6. The method of claim 5 , wherein the updating the plurality of survey questions by removing questions satisfied by response answers from the selected set of experts comprises: determining that a question has been satisfied with a satisfactory answer upon receiving a total number of responses that meets a threshold number of responses; or determining that a question has been satisfied with a satisfactory answer if an answer to a question is within a threshold variance of correlation to the expected answer.