An approach for optimizing the selection of team members on a project team. The approach retrieves data associated with prospective members of a project team. The approach generates team member personality scores based on a machine learning model. The approach generates a team compatibility score based on a portion of the prospective team member personality scores. The approach calculates a predicted project success score based on the team compatibility score. The approach assigns prospective team members to the team based on maximizing the predicted project success score.

An approach for predicting team dynamics based on changing circumstances. The approach retrieves profiles associated with a group of first team members of a project team. The approach selects a virtual reality (VR) scenario to interact with the group of first team members. The approach executes the VR scenario based on the profiles. The approach receives VR input from an interacting team member interacting with the VR scenario. The approach predicts responses of the group of first team members to the VR input. The approach analyzes the responses and provides the interacting team member a ranked list of scenario outcomes.

Methods, systems, and devices for worker ranking, worker scheduling, and enterprise labor sharing are described. A method includes: receiving objective evaluation data associated with members of a workforce; receiving subjective evaluation data associated with the members; generating composite evaluation data associated with the first members based on the objective evaluation data, the subjective evaluation data, or both; and generating scheduling information associated with the members based on the composite evaluation data. Another method includes: assigning members of a workforce to candidate temporal periods of a work schedule, where the assigning is based on a priority order corresponding to composite evaluation data associated with the members. Another method includes: identifying a work task associated with a first member of a network; selecting a worker associated with a second member of the network based on the work task or worker data; and outputting a notification at a device associated with the worker.

Prospective fault adaptation for project management includes generating a project in a project management system according to a timeline of different overlapping tasks and interdependent, a cost to completion and a count of human resources required to complete the tasks at or below the cost to completion. An indication of a prospective fault condition is received in connection with a task in the project. The prospective fault is then quantified and an adjustment computed to the timeline, cost to completion, count of human resources or scope. The adjustment is compared to a threshold value indicative of an acceptable project outcome. Finally, a visualization of the project is generated in the project management system including the flag and an alert representative of the comparison.

A headwear article is described herein. The headwear article includes a main body sized and shaped to receive at least a portion of a wearer's head. The main body includes a fastening mechanism having a pair of segments lining edges of a closable opening in the main body. Each segment of the fastening mechanism has a plurality of magnets and each of the plurality of magnets is configured to attract an opposite magnet located along an opposite edge of the opening to selectively close at least a portion of the opening around a bundle of hair when at least a portion of each of the segments of the fastening mechanism is beside and touching the other segment.

A method for online contents registration is provided. The method includes registering a contents manuscript to a contents management server, registering a voice source generated by a voice actor to the contents management server based on the contents manuscript, providing the voice source to a user through the contents management server, registering video contents created by the user to the contents management server based on the voice source, and distributing profits generated based on consumption or distribution of the created video contents.

A method for managing code development comprises: accessing at least one software code project on one or more software development platforms; computing a plurality of signature values, each signature value computed for one of a plurality of operators of the at least one software code project according to a plurality of entries associated with the operator in one of the one or more software development platforms and indicative of a plurality of software development characteristics of the operator; identifying a set of matches in the plurality of operators, each match identified between at least two of the plurality of operators according to the plurality of signature values; and providing the set of matches to at least one management software object for the purpose of performing at least one management task of the at least one code project.

Described in detail herein is a forecasting system. In one embodiment, the system can generate forecast data for amount of labor and physical objects needed at various facilities.

Methods, apparatus, and media for assigning agents for shifts in a call center environment. Shift template data structures are created for an agent for a single week, the shift template data structure having data fields including, an agent work time data field for a plurality of days in a week, an agent weekly minimum hour data field, and an agent weekly maximum hour data field. Worker parameters are combined with the shift template to define shift rotations which can be applied to a scheduling algorithm to assign the agent to a schedule of rotating shifts.

Systems and methods are provided for dynamic generation of staff analytics and forecasts based on skill and service level. Dynamic forecasting allows for forecast generation in real-time and may be based on historical data regarding skills and results, as well as data science to identify patterns and make predictions. The resulting staffing forecast may therefore provide for efficient management of messaging staff costs while preserving the desired service quality. The staffing forecast may include a volume forecast that is tailored to the unique nature of asynchronous messaging, as well as the unique messaging needs of the entity so as to efficiently manage messaging operations and make data-driven staffing decisions that take service level into account. An exemplary embodiment may include dynamic analytics tools that may use specified target and/or resource numbers (e.g., desired service level) for an existing messaging operation and get a detailed per-skill staffing forecast.