Analytical model training method for customer experience estimation

A system comprising:

• a processor configured for:
• obtaining a set of machine repair records from a first database;
• generating a modified set of machine repair records by, for each record of the set of machine repair records, associating a particular machine with at least one of i) one or more machine defects, ii) a repair of the one or more defects, and iii) one or more repair characteristics;
• generating a training model, the training model comprising the modified set of machine repair records and a set of survey records indicative of reported experience values;
• obtaining a set of machine operation records from a second database;
• identifying at least one time-based machine operation parameter associated with machine operation from the set of machine operation records;
• generating a modified set of machine operation records, the modified set of machine operation records comprising a plurality of values associated with the at least one time-based machine operation parameter;
• and
• creating an analytical model based on the training model and the modified set of machine operation records, wherein the analytical model is configured to output an estimate of customer experience based at least partly on a second set of machine repair records.

A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a processor, cause the processor to perform actions comprising:

• obtaining a set of machine repair records from a first database;
• generating a modified set of machine repair records by, for each record of the set of machine repair records, associating a particular machine with at least one of i) one or more machine defects, ii) a repair of the one or more defects, and iii) one or more repair characteristics;
• generating a training model, the training model comprising the modified set of machine repair records and a set of survey records indicative of reported experience values;
• obtaining a set of machine operation records from a second database;
• identifying at least one time-based machine operation parameter associated with machine operation from the set of machine operation records;
• generating a modified set of machine operation records, the modified set of machine operation records comprising a plurality of values associated with the at least one time-based machine operation parameter;
• and
• creating an analytical model based on the training model and the modified set of machine operation records, wherein the analytical model is configured to output an estimate of customer experience based at least partly on a second set of machine repair records.