Assessing the true impact of predictive application-driven routing on end user experience

An apparatus, comprising:

• one or more network interfaces;
• a processor coupled to the one or more network interfaces and configured to execute one or more processes;
• and
• a memory configured to store a process that is executable by the processor, the process when executed configured to:
• obtain a first set of user experience survey data from a first set of users of an online application whose traffic was rerouted by a predictive routing engine;
• obtain a second set of user experience survey data from a second set of users of the online application whose traffic was not rerouted by the predictive routing engine;
• generate, using the first set of user experience survey data and the second set of user experience survey data, a user experience prediction model to predict user experience scores for the online application;
• and
• adjust the predictive routing engine using predicted user experience scores from the user experience prediction model.

A tangible, non-transitory, computer-readable medium storing program instructions that cause a supervisory service to execute a process comprising:

• obtaining, by the supervisory service, a first set of user experience survey data from a first set of users of an online application whose traffic was rerouted by a predictive routing engine;
• obtaining, by the supervisory service, a second set of user experience survey data from a second set of users of the online application whose traffic was not rerouted by the predictive routing engine;
• generating, by the supervisory service and using the first set of user experience survey data and the second set of user experience survey data, a user experience prediction model to predict user experience scores for the online application;
• and
• adjusting, by the supervisory service, the predictive routing engine using predicted user experience scores from the user experience prediction model.