Abstract: In one example, a method includes receiving, from a mobile wireless device, a care request that includes a user description of a request for service that identifies a problem experienced by the user concerning operation of the mobile wireless device and/or a wireless communication network. The method further includes correlating the problem with data associated with one or more peer mobile wireless devices, where the correlating is based on wireless communication network analytics performed with respect to the peer mobile wireless devices. As well, the method includes identifying a probable cause for the problem based on results of the correlating, automatically matching the probable cause of the problem to a proposed solution, automatically transmitting to the mobile wireless device, information identifying the probable cause of, and the proposed solution to, the problem, and implementing the proposed solution when user input is received indicating user permission for such implementation.

Abstract: A method for operation of a battery consumption analysis server communicatively coupled to a plurality of mobile devices over radio channels to receive packages of data recorded at each mobile device containing application use, and battery charging and discharging events. By receiving independent sets of information from the mobile device wherein independent sets comprise at least one of wireless phone activities and battery use, combining this information in such a way that the battery consumption or over consumption of specific applications are identified, the apparatus and method configures a display to identify the correspondingly bad applications to a user.

Abstract: In one example, performance of a method facilitates an improvement in a wireless communication service provided to a user of a mobile wireless communication device, and includes receiving a user input signal indicating a perception by the user that performance of a mobile wireless communication device is unsatisfactory, retrieving, in response to receipt of the user input signal, device configuration information, and information concerning the location of a mobile wireless communication device at about the time that the user input signal was received, presenting the user with a list of user-selectable problem descriptions, and receiving a user input signal indicating user selection of one of the listed problem descriptions, transmitting, to a server, a request for assistance concerning the user-identified problem, and uploading, to the server, cached analytics stored at a mobile wireless communication device and corresponding to the selected problem description.

Abstract: In one example, a method includes receiving, from a mobile wireless device, a care request that includes a user description of a request for service that identifies a problem experienced by the user concerning operation of the mobile wireless device and/or a wireless communication network. The method further includes correlating the problem with data associated with one or more peer mobile wireless devices, where the correlating is based on wireless communication network analytics performed with respect to the peer mobile wireless devices. As well, the method includes identifying a probable cause for the problem based on results of the correlating, automatically matching the probable cause of the problem to a proposed solution, automatically transmitting to the mobile wireless device, information identifying the probable cause of, and the proposed solution to, the problem, and implementing the proposed solution when user input is received indicating user permission for such implementation.

Abstract: A customer self-service tuning system assists a mobile device user in adjusting his network settings and device configuration. Device, network and performance metrics are stored for a population. Over time all of these suggest changes in the device or network that change measured performance. The potential improvement(s) are presented to the user for selection. Performance measurements are taken and the user can choose to go forward with the new configuration or to revert. Each time a user requests self-care service, a new cohort is extracted from the then current overall population and analyzed for similarity to the user at that point in time. Each time an improvement is selected, the history of device states and network states is augmented. Identified variances are transformed into an action plan specific to a user and implemented on the device or network upon concurrence.

Abstract: A customer self-service tuning system assists a mobile device user in adjusting his network settings and device configuration. Device, network and performance metrics are stored for a population. Over time all of these suggest changes in the device or network that change measured performance. The potential improvement(s) are presented to the user for selection. Performance measurements are taken and the user can choose to go forward with the new configuration or to revert. Each time a user requests self-care service, a new cohort is extracted from the then current overall population and analyzed for similarity to the user at that point in time. Each time an improvement is selected, the history of device states and network states is augmented. Identified variances are transformed into an action plan specific to a user and implemented on the device or network upon concurrence.

Abstract: A customer self-service tuning system assists a mobile device user in adjusting his network settings and device configuration. Device, network and performance metrics are stored for a population. Over time all of these suggest changes in the device or network that change measured performance. The potential improvement(s) are presented to the user for selection. Performance measurements are taken and the user can choose to go forward with the new configuration or to revert. Each time a user requests self-care service, a new cohort is extracted from the then current overall population and analyzed for similarity to the user at that point in time. Each time an improvement is selected, the history of device states and network states is augmented. Identified variances are transformed into an action plan specific to a user and implemented on the device or network upon concurrence.

Abstract: A method for operation of a battery consumption analysis server communicatively coupled to a plurality of mobile devices over radio channels to receive packages of data recorded at each mobile device containing application use, and battery charging and discharging events. By receiving independent sets of information from the mobile device wherein independent sets comprise at least one of wireless phone activities and battery use, combining this information in such a way that the battery consumption or over consumption of specific applications are identified, the apparatus and method configures a display to identify the correspondingly bad applications to a user.

Abstract: A system communicatively couples a server to a plurality of mobile wireless device clients to receive and track customer care related information which has been captured on any one of the clients. The server uses information sent by a client to initiate a customer care request ticket and responds to the client request with a ticket number and request description compiled using the information from the client. A system receives from a mobile device user a request to tuneup, a devstate extracted from a cache stored in the mobile device, and proposes at least one delta devstate operation to resolve the perception; making an adjustment or guiding the user to make an adjustment to execute the proposed delta operation; and at the end of an evaluation period, offers to revert to the stored prior state; to accept the delta state; or to continue the tuneup process.

Abstract: In one example, performance of a method facilitates an improvement in a wireless communication service provided to a user of a mobile wireless communication device, and includes receiving a user input signal indicating a perception by the user that performance of a mobile wireless communication device is unsatisfactory, retrieving, in response to receipt of the user input signal, device configuration information, and information concerning the location of a mobile wireless communication device at about the time that the user input signal was received, presenting the user with a list of user-selectable problem descriptions, and receiving a user input signal indicating user selection of one of the listed problem descriptions, transmitting, to a server, a request for assistance concerning the user-identified problem, and uploading, to the server, cached analytics stored at a mobile wireless communication device and corresponding to the selected problem description.

Abstract: A method estimates resource consumption between applications within and among a population of wireless mobile devices. Aggregating and analyzing samples for each member of the population of devices provides comparable individual results. Subsequently aggregating and analyzing only summary information for each member of the population of devices provides cluster, crowd, and global comparisons. An apparatus determines out of norm behavior of an individual within a crowd, or relative differences between two crowds.

Abstract: A method for operation of a battery consumption analysis server communicatively coupled to a plurality of mobile devices over radio channels to receive packages of data recorded at each mobile device containing application use, and battery charging and discharging events. By receiving independent sets of information from the mobile device wherein independent sets comprise at least one of wireless phone activities and battery use, combining this information in such a way that the battery consumption or over consumption of specific applications are identified, the apparatus and method configures a display to identify the correspondingly bad applications to a user.

Abstract: A minimum confidence level is applied to recognize a localizable wireless system debility from a debility which is invariant from place to place or which cannot be significantly distinguished from service performance levels of comparable mobile user terminals in the network as a whole. Reports received by the population of users of a service or product family are scored, aggregated, normalized, and averaged overall and for each geographic service area. A report is received from a particular end user and the customer operated wireless instrument and transformed into an individual user experience score over a length of time and breadth of locations. The reports provided by the population of users are transformed into a population experience score that reflects usage in the same time and locations reported from the wireless instrument of the particular end user. Various potential causations are considered and those which exceed a minimum level of confidence are presented.

Abstract: A customer self-service tuning system assists a mobile device user in adjusting his network settings and device configuration. Device, network and performance metrics are stored for a population. Over time all of these suggest changes in the device or network that change measured performance. The potential improvement(s) are presented to the user for selection. Performance measurements are taken and the user can choose to go forward with the new configuration or to revert. Each time a user requests self-care service, a new cohort is extracted from the then current overall population and analyzed for similarity to the user at that point in time. Each time an improvement is selected, the history of device states and network states is augmented. Identified variances are transformed into an action plan specific to a user and implemented on the device or network upon concurrence.

Abstract: A customer self-service tuning system assists a mobile device user in adjusting his network settings and device configuration. Device, network and performance metrics are stored for a population. Over time all of these suggest changes in the device or network that change measured performance. The potential improvement(s) are presented to the user for selection. Performance measurements are taken and the user can choose to go forward with the new configuration or to revert. Each time a user requests self-care service, a new cohort is extracted from the then current overall population and analyzed for similarity to the user at that point in time. Each time an improvement is selected, the history of device states and network states is augmented. Identified variances are transformed into an action plan specific to a user and implemented on the device or network upon concurrence.

Abstract: A method for operation of a battery consumption analysis server communicatively coupled to a plurality of mobile devices over radio channels to receive packages of data recorded at each mobile device containing application use, and battery charging and discharging events. By receiving independent sets of information from the mobile device wherein independent sets comprise at least one of wireless phone activities and battery use, combining this information in such a way that the battery consumption or over consumption of specific applications are identified, the apparatus and method configures a display to identify the correspondingly bad applications to a user.

Abstract: A method for operation of a battery consumption analysis server communicatively coupled to a plurality of mobile devices over radio channels to receive packages of data recorded at each mobile device containing application use, and battery charging and discharging events. By receiving independent sets of information from the mobile device wherein independent sets comprise at least one of wireless phone activities and battery use, combining this information in such a way that the battery consumption or over consumption of specific applications are identified, the apparatus and method configures a display to identify the correspondingly bad applications to a user.

Abstract: A customer self-service tuning system assists a mobile device user in adjusting his network settings and device configuration. Device, network and performance metrics are stored for a population. Over time all of these suggest changes in the device or network that change measured performance. The potential improvement(s) are presented to the user for selection. Performance measurements are taken and the user can choose to go forward with the new configuration or to revert. Each time a user requests self-care service, a new cohort is extracted from the then current overall population and analyzed for similarity to the user at that point in time. Each time an improvement is selected, the history of device states and network states is augmented. Identified variances are transformed into an action plan specific to a user and implemented on the device or network upon concurrence.

Abstract: An interactive display apparatus and method for operating a server to trace the origin of data which results in a display of unsatisfactory Quality of Service for a plurality of wireless communication devices and to set thresholds and relative importance of measurements. An apparatus and method to view and set thresholds for discounting scores according to satisfaction.

Abstract: A system communicatively couples a server to a plurality of mobile wireless device clients to receive and track customer care related information which has been captured on any one of the clients. The server uses information sent by a client to initiate a customer care request ticket and responds to the client request with a ticket number and request description compiled using the information from the client. A system receives from a mobile device user a request to tuneup, a devstate extracted from a cache stored in the mobile device, and proposes at least one delta devstate operation to resolve the perception; making an adjustment or guiding the user to make an adjustment to execute the proposed delta operation; and at the end of an evaluation period, offers to revert to the stored prior state; to accept the delta state; or to continue the tuneup process.