Correlating experience data and operations data without compromising anonymity

A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for preserving user anonymity in correlating experience data (X-data) and operational data (O-data) in analytics of computer-implemented services, the operations comprising:

• determining, by an anonymity-preserving data analysis platform, an initial distribution based on a set of survey boundaries and historical O-data, the historical O-data being generated through execution of a computer-implemented service, the historical distribution comprising a first set of parameter ranges and a second set of parameter ranges defining a set of range cells;
• adjusting, by the anonymity-preserving data analysis platform, one or more parameters ranges of at least one of the first set of parameter ranges and the second set of parameter ranges;
• determining, by the anonymity-preserving data analysis platform, an adjusted distribution defining a range space for a computer-based survey;
• receiving, by the anonymity-preserving data analysis platform, X-data from a set of users participating in the computer-based survey, the X-data comprising responses of users in the set of users provided to the computer-based survey;
• providing a set of X-data to O-data range vector correlations;
• and
• executing analytics of the computer-implemented service based on the set of X-data to O-data range vector correlations.

A system, comprising:

• a computing device;
• and
• a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations for preserving user anonymity in correlating experience data (X-data) and operational data (O-data) in analytics of computer-implemented services, the operations comprising:
• determining, by an anonymity-preserving data analysis platform, an initial distribution based on a set of survey boundaries and historical O-data, the historical O-data being generated through execution of a computer-implemented service, the historical distribution comprising a first set of parameter ranges and a second set of parameter ranges defining a set of range cells;
• adjusting, by the anonymity-preserving data analysis platform, one or more parameters ranges of at least one of the first set of parameter ranges and the second set of parameter ranges;
• determining, by the anonymity-preserving data analysis platform, an adjusted distribution defining a range space for a computer-based survey;
• receiving, by the anonymity-preserving data analysis platform, X-data from a set of users participating in the computer-based survey, the X-data comprising responses of users in the set of users provided to the computer-based survey;
• providing a set of X-data to O-data range vector correlations;
• and
• executing analytics of the computer-implemented service based on the set of X-data to O-data range vector correlations.