A COMPUTER-IMPLEMENTED METHOD FOR CONSISTENTLY IDENTIFYING AN AGENT FOR A COACHING SESSION, AND ASSESSING RELEVANT COACHING SUBJECT TO THE COACHING SESSION, IN A CONTACT CENTER

    公开(公告)号:US20250124808A1

    公开(公告)日:2025-04-17

    申请号:US18378714

    申请日:2023-10-11

    Applicant: NICE LTD.

    Abstract: A computer-implemented method for consistently identifying an agent for a coaching-session and assessing relevant-coaching-subject to the coaching-session. The computer-implemented method includes: (i) receiving agents having KPIs below a threshold; for each agent: (ii) receiving focus-area and related behaviors for the KPIs; (iii) retrieving interactions and associated categories and behaviors; (iv) retrieving evaluations of the retrieved interactions that are below a threshold, and related interactions; (v) marking each category that is having an evaluation below the threshold; (vi) retrieving associated focus-area with behaviors for each category that is classified as negative; (vii) determining a number of categories for the coaching-session; (viii) identifying behaviors from interactions related to the categories based on the associated focus-area; (ix) determining a number of behaviors; (x) calculating a co-relation score for each behavior and associated focus-area; and (xi) selecting a number of behaviors and associated focus-area having highest co-relation score to schedule a coaching-session therewith.

    SYSTEM AND METHOD FOR MEASURING AN AGENT ENGAGEMENT INDEX AND ASSOCIATING ACTIONS TO IMPROVE THEREOF

    公开(公告)号:US20230245033A1

    公开(公告)日:2023-08-03

    申请号:US17589944

    申请日:2022-02-01

    Applicant: NICE LTD.

    Abstract: A computerized-method for measuring an Agent-Engagement-Index (AEI) and associating actions to improve thereof, is provided herein. The computerized-method may operate an AEI module for an assessment of agents. The AEI module includes: (i) retrieving data from applications to derive agent's related-data and exporting the agent's related-data into data-files; (ii) operating a data-ingest module to store the agent's related-data from the data-files; (iii) operating a transform module to transform the agent's related-data by creating relational-entities and calculating metrics; (iv) operating an analytic-engine to process the relational-entities and the calculated metrics for calculating indicators and an AEI based thereon; (v) determining actions to improve the AEI based on the calculated AEI and the indicators; (vi) storing the determined actions in the data-store of agents to improve the AEI and the indicators; and (vii) upon user's request displaying the indicators and the AEI for each agent and the determined actions for each agent.

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