Abstract: Non-limiting examples of the present disclosure describe creation and management of a contact associated with a document. A contact for a document in a first application may be created. The contact may be used to add content, from a second application, to the document. The contact may be stored. Contact data for the contact may be transmitted to one or more processing devices. An exemplary created contact may be used to transfer content from one or more applications to a document of another application. Other examples are also described.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Non-limiting examples of the present disclosure describe creation and management of a contact associated with a document. A contact for a document in a first application may be created. The contact may be used to add content, from a second application, to the document. The contact may be stored. Contact data for the contact may be transmitted to one or more processing devices. An exemplary created contact may be used to transfer content from one or more applications to a document of another application. Other examples are also described.

Abstract: 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.

Abstract: Non-limiting examples of the present disclosure describe creation and management of a contact associated with a document. A contact for a document in a first application may be created. The contact may be used to add content, from a second application, to the document. The contact may be stored. Contact data for the contact may be transmitted to one or more processing devices. An exemplary created contact may be used to transfer content from one or more applications to a document of another application. Other examples are also described.

Abstract: Non-limiting examples of the present disclosure describe creation and management of a contact associated with a document. A contact for a document in a first application may be created. The contact may be used to add content, from a second application, to the document. The contact may be stored. Contact data for the contact may be transmitted to one or more processing devices. An exemplary created contact may be used to transfer content from one or more applications to a document of another application. Other examples are also described.

Abstract: 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.

Abstract: Non-limiting examples of the present disclosure describe creation and management of a contact associated with a document. A contact for a document in a first application may be created. The contact may be used to add content, from a second application, to the document. The contact may be stored. Contact data for the contact may be transmitted to one or more processing devices. An exemplary created contact may be used to transfer content from one or more applications to a document of another application. Other examples are also described.

Abstract: Collaboration communication tools within a document editor are provided. An application such as a document authoring application displays a document and a communication panel adjacent to the document. The communication panel presents a conversation associated with the document. Communications and/or conversations associated with the documents may be obtained from different applications and aggregated to be presented in conjunction with the document. A new entry is detected for an insertion into the conversation associated with the document. The new entry is inserted into the conversation. An insertion of a section of the document into the conversation is also detected. The section of the document is tracked. The section of the document is displayed embedded into the conversation within the communication panel.

Abstract: Collaboration cards are provided to enable people to collaborate and receive instant replies to comments or questions from anywhere in a collaboratively generated document. A collaborator may add somebody's name to a collaboration card and ask that person for information, for example. That person may receive the question/comment via an email, a text message, a posting, or comparable communication methods, and respond back with the requested information through the same communication channel or another communication channel. The replied content may be placed into the collaboration card created in the document, and the original sender may be enabled to accept a change to the document content based on the collaboration card.

Abstract: Non-limiting examples of the present disclosure describe creation and management of a contact associated with a document. A contact for a document in a first application may be created. The contact may be used to add content, from a second application, to the document. The contact may be stored. Contact data for the contact may be transmitted to one or more processing devices. An exemplary created contact may be used to transfer content from one or more applications to a document of another application. Other examples are also described.

Abstract: Collaboration cards are provided to enable people to collaborate and receive instant replies to comments or questions from anywhere in a collaboratively generated document. A collaborator may add somebody's name to a collaboration card and ask that person for information, for example. That person may receive the question/comment via an email, a text message, a posting, or comparable communication methods, and respond back with the requested information through the same communication channel or another communication channel. The replied content may be placed into the collaboration card created in the document, and the original sender may be enabled to accept a change to the document content based on the collaboration card.

Abstract: Interactive generation of content is provided for a document. An application, such as a document processing application, detects an intent to create the document based on an input or an inference. The input includes a selection from a set of content structure templates. The inference includes a threshold based event such as a deadline, a reminder, and/or a presence of an editor detected in a specific location, among others. Next, a content structure template based on the document is presented. The content structure template includes question(s) associated with the document.

Abstract: Collaboration communication tools within a document editor are provided. An application such as a document authoring application displays a document and a communication panel adjacent to the document. The communication panel presents a conversation associated with the document. Communications and/or conversations associated with the documents may be obtained from different applications and aggregated to be presented in conjunction with the document. A new entry is detected for an insertion into the conversation associated with the document. The new entry is inserted into the conversation. An insertion of a section of the document into the conversation is also detected. The section of the document is tracked. The section of the document is displayed embedded into the conversation within the communication panel.