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1.发明申请公开(公告)号：US20210295736A1
公开(公告)日：2021-09-23
申请号：US17303848
申请日：2021-06-09
发明人： Michael Baker , Andrew Delany , Siddhartha Bothra , Shikha Desai , Marie Guthrie
IPC分类号： G09B19/00 , G06F3/0483 , G06F3/0482 , G06N20/00
摘要： A user computing entity executes application program code to cause display of an IUI via a user interface of the user computing entity. The IUI comprises an action list comprising one or more action items corresponding to one or more team members of a team. The action items are automatically ordered based on one or more action priorities. At least one of the action items corresponds to a coaching opportunity and a recommendation for responding thereto. The coaching opportunity is automatically identified using a recommendation model trained using machine learning based at least in part on performance data corresponding to a plurality of key performance indicator metrics. The recommendation for responding to the coaching opportunity is determined using the recommendation model and based on the performance data. The recommendation model is trained using information regarding previous handlings of coaching opportunities and corresponding outcome indicators for a cluster of teams.
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2.发明授权公开(公告)号：US11282408B2
公开(公告)日：2022-03-22
申请号：US17303848
申请日：2021-06-09
发明人： Michael Baker , Andrew Delany , Siddhartha Bothra , Shikha Desai , Marie Guthrie
IPC分类号： G06N20/00 , G09B19/00 , G06F3/0483 , G06F3/0482
摘要： A user computing entity executes application program code to cause display of an IUI via a user interface of the user computing entity. The IUI comprises an action list comprising one or more action items corresponding to one or more team members of a team. The action items are automatically ordered based on one or more action priorities. At least one of the action items corresponds to a coaching opportunity and a recommendation for responding thereto. The coaching opportunity is automatically identified using a recommendation model trained using machine learning based at least in part on performance data corresponding to a plurality of key performance indicator metrics. The recommendation for responding to the coaching opportunity is determined using the recommendation model and based on the performance data. The recommendation model is trained using information regarding previous handlings of coaching opportunities and corresponding outcome indicators for a cluster of teams.
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3.发明申请公开(公告)号：US20220270508A1
公开(公告)日：2022-08-25
申请号：US17650414
申请日：2022-02-09
发明人： Michael Baker , Andrew Delany , Siddhartha Bothra , Shikha Desai , Marie Guthrie
IPC分类号： G09B19/00 , G06F3/0483 , G06F3/0482 , G06N20/00
摘要： A user computing entity executes application program code to cause display of an IUI via a user interface of the user computing entity. The IUI comprises an action list comprising one or more action items corresponding to one or more team members of a team. The action items are automatically ordered based on one or more action priorities. At least one of the action items corresponds to a coaching opportunity and a recommendation for responding thereto. The coaching opportunity is automatically identified using a recommendation model trained using machine learning based at least in part on performance data corresponding to a plurality of key performance indicator metrics. The recommendation for responding to the coaching opportunity is determined using the recommendation model and based on the performance data. The recommendation model is trained using information regarding previous handlings of coaching opportunities and corresponding outcome indicators for a cluster of teams.
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4.发明授权公开(公告)号：US11557220B2
公开(公告)日：2023-01-17
申请号：US17650414
申请日：2022-02-09
发明人： Michael Baker , Andrew Delany , Siddhartha Bothra , Shikha Desai , Marie Guthrie
IPC分类号： G06F3/0482 , G09B19/00 , G06F3/0483 , G06N20/00
摘要： A user computing entity executes application program code to cause display of an IUI via a user interface of the user computing entity. The IUI comprises an action list comprising one or more action items corresponding to one or more team members of a team. The action items are automatically ordered based on one or more action priorities. At least one of the action items corresponds to a coaching opportunity and a recommendation for responding thereto. The coaching opportunity is automatically identified using a recommendation model trained using machine learning based at least in part on performance data corresponding to a plurality of key performance indicator metrics. The recommendation for responding to the coaching opportunity is determined using the recommendation model and based on the performance data. The recommendation model is trained using information regarding previous handlings of coaching opportunities and corresponding outcome indicators for a cluster of teams.
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5.发明授权公开(公告)号：US11062618B2
公开(公告)日：2021-07-13
申请号：US16446725
申请日：2019-06-20
发明人： Michael Baker , Andrew Delany , Siddhartha Bothra , Shikha Desai , Marie Guthrie
IPC分类号： G06F3/0483 , G09B19/00 , G06F3/0482 , G06N20/00
摘要： A user computing entity executes application program code to cause display of an IUI via a user interface of the user computing entity. The IUI comprises an action list comprising one or more action items corresponding to one or more team members of a team. The action items are automatically ordered based on one or more action priorities. At least one of the action items corresponds to a coaching opportunity and a recommendation for responding thereto. The coaching opportunity is automatically identified using a recommendation model trained using machine learning based at least in part on performance data corresponding to a plurality of key performance indicator metrics. The recommendation for responding to the coaching opportunity is determined using the recommendation model and based on the performance data. The recommendation model is trained using information regarding previous handlings of coaching opportunities and corresponding outcome indicators for a cluster of teams.
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6.发明申请公开(公告)号：US20200005667A1
公开(公告)日：2020-01-02
申请号：US16446725
申请日：2019-06-20
发明人： Michael Baker , Andrew Delany , Siddhartha Bothra , Shikha Desai , Marie Guthrie
IPC分类号： G09B19/00 , G06N20/00 , G06F3/0482 , G06F3/0483
摘要： A user computing entity executes application program code to cause display of an IUI via a user interface of the user computing entity. The IUI comprises an action list comprising one or more action items corresponding to one or more team members of a team. The action items are automatically ordered based on one or more action priorities. At least one of the action items corresponds to a coaching opportunity and a recommendation for responding thereto. The coaching opportunity is automatically identified using a recommendation model trained using machine learning based at least in part on performance data corresponding to a plurality of key performance indicator metrics. The recommendation for responding to the coaching opportunity is determined using the recommendation model and based on the performance data. The recommendation model is trained using information regarding previous handlings of coaching opportunities and corresponding outcome indicators for a cluster of teams.
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