Automated Learning Plan Generation for Skill Gap Resolution
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Solution Overview
Problem
In modern business environments, particularly in high-volume customer engagement centers, new employees often use systems and resources inefficiently due to lack of familiarity, leading to work errors, delayed communications, and decreased customer satisfaction, while supervisory and HR staff face challenges in designing effective learning plans without adequate assessment of employee skills and training needs.
Innovation Solution
An automated system and method that analyzes data inputs to produce personalized learning plans, integrating skill assessments and adapting to changing employee requirements, using a processor and non-transitory computer-readable medium with programmed code to determine goals and generate optimal learning plans based on company objectives, employee positions, and current skill levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If supervisory or HR staff manually design learning plans for employees, then personalized training can be provided, but the system cannot timely and adequately monitor individual employee compliance and may be overwhelmed by large numbers of incoming employees
Solution Approach 1:
The system enables automated self-assessment where employees independently evaluate their own skill levels and training needs through structured questionnaires and assessments. This self-service approach eliminates the need for manual HR staff intervention in creating and monitoring individual learning plans, allowing the system to scale to large numbers of employees while maintaining personalized training recommendations
Solution Approach 2:
The patent replaces the mechanical manual process of HR staff designing and monitoring learning plans with an automated computer-based system that uses algorithms to analyze employee responses, assess skill gaps, generate personalized learning plans, and track compliance automatically. This substitution enables the system to handle large volumes of employees efficiently
2Measurement precision
If manual skill assessment and learning plan design is used, then employee needs can be evaluated, but large numbers of incoming employees overwhelm HR staff and lead to delays in forming individualized learning plans
Solution Approach 1:
The system performs preliminary automated assessment of employee skills and training needs immediately upon onboarding through structured questionnaires and self-assessments. Learning plans are generated automatically based on assessed needs, eliminating delays associated with manual HR review and approval processes. This preliminary automated action ensures both accuracy in skill assessment and speed in plan formation
Solution Approach 2:
The patent replaces manual HR staff assessment and plan creation with an automated computer-based system that processes employee responses, determines skill gaps, and generates learning plans algorithmically. This substitution maintains measurement precision through structured assessment protocols while dramatically reducing the time required to form individualized learning plans
3Adaptability or versatility
If HR or supervisory staff assign continuing education goals, then employee development can be directed, but staff may not be objective in assigning or evaluating employee skills and training needs
Solution Approach 1:
The patent replaces subjective human judgment in skill assessment and training recommendation with an objective computer-based algorithm. The system uses standardized questionnaires, self-assessments, and structured evaluation criteria to determine employee skill levels and training needs without human bias. This mechanical substitution ensures consistent, objective, and reliable assessment across all employees
Solution Approach 2:
The system incorporates feedback loops where employee responses to structured questionnaires and self-assessments are processed algorithmically to generate objective skill evaluations. The system continuously refines its assessments based on employee performance data and training outcomes, ensuring objectivity and reliability in skill measurement and training recommendations
Data Source
AI summary
The present invention is a method and system for automatically producing a learning plan. Upon receiving at least one type of data input, the system analyzes the data input and produces a learning plan based on the results of the analysis of the data input. This process may be used to either generate or update a learning plan, and may be repeated to update an existing learning plan.


