| CPC G06Q 10/06393 (2013.01) [G06Q 10/06395 (2013.01); G06Q 30/0203 (2013.01)] | 27 Claims |
|
1. A computer-implemented method facilitating a measuring and enhancement of a quality of an experience, wherein the experience is being provided by an experience provider and experienced by an experience audience, the method comprising the steps of:
receiving, via a computer system, and storing in a non-transitory memory medium key experience aspects (“KEAs”) for the experience, each of the KEAs comprising a statement describing a key aspect of the experience;
performing, by the computer system, a pre-survey process to develop an understanding of the experience, wherein the pre-survey process includes administering electronically a set of pre-surveys, each pre-survey of the set of pre-surveys being administered to respondents in a representative subset of the experience audience, wherein the set of pre-surveys comprises at least:
an importance pre-survey that requests each respondent to respond by indicating a relative importance between the KEAs; and
a perception pre-survey that requests each respondent to respond by indicating which from among a plurality of predetermined perceptions most closely aligns with each of the KEAs;
based on responses received during the administering of the set of pre-surveys, calculating, by the computer system, one or more weights, wherein the one or more weights include at least:
importance weights based on responses received to the importance pre-survey, the importance weights comprising a weighting between the KEAs by relative importance; and
perception weights based on responses received to the perception pre-survey, the perception weights comprising a weighting between the KEAs by relative strength of an alignment with a given perception of the plurality of predetermined perceptions;
performing, by the computer system, a general survey process that includes administering electronically a general survey to an entirety of the experience audience, wherein the general survey requests each respondent to provide a quality rating indicating how well the experience provider delivered each of the KEAs based on their own experience of the experience;
based on responses received during the administering of the general survey, calculating, by the computer system, a first set of one or more Experience Index scores as measures of the quality of the experience, wherein the first set of one or more Experience Index scores comprise an aggregation of the received quality ratings weighted by at least one of the importance weights or the perception weights;
training a machine learning model to calculate a predicted Experience Index score based on the calculated first set of one or more Experience Index scores and inputs from a trained natural language processing system; and
based on responses received from a subsequent set of pre-surveys, predicting a second set of Experience Index scores using the trained machine learning model without administering a subsequent general survey.
|