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AUTOMATED SOCIAL COLLABORATIVE ON-BOARDING

IP.com Disclosure Number: IPCOM000234989D
Publication Date: 2014-Feb-21
Document File: 4 page(s) / 99K

Publishing Venue

The IP.com Prior Art Database

Related People

Michael Marquiz: AUTHOR [+3]

Abstract

Newly hired employees or employees in new positions are automatically matched with appropriate mentors for their respective job roles, and periodic periodic collaboration sessions, e.g., meetings, or other interactions, are automatically scheduled or facilitated between the new hire and their respective mentors using the mutually agreed upon meeting technology (e.g. WebEx, Telepresence, etc.). The new hire is provided with additional recommendations to resources that can assist in the new job role (e.g., people to follow, communities to join, posts and/or documents to reference, etc.).

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AUTOMATED SOCIAL COLLABORATIVE ON-BOARDING

AUTHORS:

Michael Marquiz

 Keith Griffin
Stephen Quatrano

CISCO SYSTEMS, INC.

ABSTRACT

    Newly hired employees or employees in new positions are automatically matched with appropriate mentors for their respective job roles, and periodic periodic collaboration sessions, e.g., meetings, or other interactions, are automatically scheduled or facilitated between the new hire and their respective mentors using the mutually agreed upon meeting technology (e.g. WebEx, Telepresence, etc.). The new hire is provided with additional recommendations to resources that can assist in the new job role (e.g., people to follow, communities to join, posts and/or documents to reference, etc.).

DETAILED DESCRIPTION

    When an employee joins a new company it can be a struggle to get connected with relevant people, Information Technology (IT) tools and information. It often comes down to 'who you know' or how quickly that you get connected with people. This scenario also applies when people move within larger organizations.

    Presented herein are techniques to match newly hired employees or employees who have moved into a new position with suitable mentors for guidance in their new job. In so doing, these techniques automate meeting establishment between new hires and their respective mentors. Further, a mechanism is provided to recommend resources to help the employee in their new role (e.g., people to follow, communities to join, posts and/or documents to reference, etc.).

    The technology to solve this problem has been developed. A general purpose onboarding application, however, would make this economically feasible to many more IT organizations.

Copyright 2014 Cisco Systems, Inc.

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    There are several core aspects of this idea. First, it is necessary to extract and understand the skills of a new hire using text analytics operating on job descriptions, model resumes, product specification sheets, email, presentations or any kind of document. Then, people, information, tools/applications, communities of interest and other relevant material items are suggested to the new hire. This is a user-assisted contact and content recommendation engine.

    Utilizing a collaboration platform, contact is automatically initiated or facilitated with mentors based on an opt-in mentoring model. Initial contact is likely to be based on Instant Messaging (IM), as well as Voice/Video based on availability. Following initial contact and selection of mentors, the scheduling of periodic checkpoint mentor meetings are automated or facilitated.

    Additional information relating to these techniques may be employed. Entity extraction and natural language processing techniques (e.g. text summarization, text mining, information extraction, etc.) may be leveraged to collect relevant material about a new hire from following sources: a job description, a resume, a linked-in profile, etc.

    This information is used to automatically build a profile w...