Job Profile Segmentation for Device Provisioning
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Solution Overview
Problem
In office environments, new employees often receive 'one-size-fits-all' computing devices that do not match their specific job roles, requiring them to manually identify and install necessary hardware and software, leading to inefficiencies and potential mismatches in device and software configurations.
Innovation Solution
A system that utilizes a processor to collect telemetry data, create a knowledge base, segment it by job profiles, and recommend optimal computing devices and software applications based on usage patterns, thereby streamlining device and software provisioning to match specific job roles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a one-size-fits-all computing device is provided to new employees, then device provisioning is simplified and standardized, but the device configuration does not match specific job role requirements, leading to manual installation needs
Solution Approach 1:
The patent segments employees by job families and roles, creating distinct profiles for different job types. Each job profile has associated recommended devices and software applications. This segmentation allows the system to move from a one-size-fits-all approach to targeted provisioning based on specific job requirements.
Solution Approach 2:
The system performs preliminary actions by pre-configuring computing devices with job-appropriate software and hardware before employees receive them. Telemetry data from existing users is analyzed to create recommendations, and devices are provisioned with appropriate configurations before handout, eliminating the need for manual installation.
2Adaptability or versatility
If employees manually identify and install necessary software and hardware, then device configuration can be customized to job needs, but productivity is reduced due to time spent on manual setup
Solution Approach 1:
The system enables self-service by automatically provisioning devices based on job profiles. When a new employee is hired, the system automatically identifies their job family, selects appropriate devices and software from pre-configured templates, and provisions everything without requiring the employee or IT staff to manually install components.
Solution Approach 2:
The system uses telemetry data from existing users as feedback to continuously improve device and software recommendations. This feedback loop ensures that the provisioning system learns from actual usage patterns and optimizes configurations for different job roles over time.
3Adaptability or versatility
If computing devices are customized for specific job roles, then device functionality is optimized for job tasks, but device provisioning complexity increases
Solution Approach 1:
The patent creates universal job profiles that can be applied across an organization. Each job family profile contains standardized device recommendations and software configurations that can be reused for multiple employees in the same role. This universality simplifies provisioning while still providing role-appropriate customization.
Data Source
AI summary
In an example implementation according to aspects of the present disclosure, a system, method, and storage medium for knowledge base recommendations are disclosed. A system comprising a storage medium and a processor receive user usage data from a telemetry agent. The processor creates a knowledge base based on the user usage data. The processor segments the knowledge base based on a profile and determines an optimal computing device recommendation and an optimal software application recommendation. The processor transmits the recommendations to a provisioning system.