Job Profile Generation via Intranet Usage Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Generic job postings often fail to identify specific skills required for a role, leading to inefficient hiring processes, as they do not account for unique skills developed by employees, resulting in interviewing unqualified candidates and wasting resources.
Innovation Solution
A system utilizing evolutionary algorithms to generate job profiles based on an employee's intranet usage data, which analyzes their history to identify required and desired skills, thereby creating a more accurate job description for recruitment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic job postings are used, then hiring process simplicity is maintained, but hiring efficiency and candidate quality deteriorate
Solution Approach 1:
The system performs preliminary analysis of employee intranet usage data before job postings are created. By pre-identifying skills, tools, and resources actually used by employees in specific roles through their intranet activity patterns, the system prepares accurate job profiles in advance, eliminating the need for generic postings and improving hiring efficiency without manual complexity
Solution Approach 2:
The system enables automatic generation of job profiles by analyzing intranet usage data without requiring manual HR intervention. The recommender system self-identifies required skills, tools, and qualifications by monitoring how employees actually work, allowing the organization to obtain precise job descriptions through automated data analysis rather than manual processes
2Measurement precision
If manual job profile creation is used, then resource consumption is reduced, but time and accuracy in identifying required skills deteriorate
Solution Approach 1:
The system replaces manual mechanical processes of job profile creation with automated computational analysis. The recommender system uses algorithms to analyze intranet usage data, automatically identifying skills, tools, and qualifications without human intervention, thereby achieving both high accuracy in skill identification and rapid profile generation simultaneously
Solution Approach 2:
The intranet usage data serves as an intermediary that bridges the gap between actual employee work activities and job profile requirements. By analyzing this intermediate data layer, the system indirectly identifies required skills and qualifications with high accuracy, avoiding both manual processes and direct observation methods
3Loss of energy
If generic job postings are used, then resource allocation is simplified, but resource waste in interviewing unqualified candidates increases
Solution Approach 1:
The system implements feedback loops by continuously monitoring intranet usage data to validate and refine job profile accuracy. By comparing actual employee activities against identified job requirements, the system learns from discrepancies and improves future skill identification, reducing resource waste through increasingly accurate candidate matching while managing complexity through iterative optimization
Solution Approach 2:
The system dynamically adjusts job profile parameters such as required skills, tools, and qualifications based on analyzed intranet usage patterns. By changing these parameters according to actual employee behavior data rather than static templates, the system reduces resource waste by accurately reflecting real job requirements, managing complexity through adaptive parameter adjustment rather than fixed complex structures
Data Source
AI summary
A method, computer program product, and system for job profile generation, the method, computer program product, and system include receiving employee intranet usage data, storing the received employee intranet usage data in a database, identifying a portion of the stored employee intranet usage data associated with the former employee, transmitting the portion to a recommender system, where the recommender system identifies one or more required job skills of the former employee, based on the transmitted portion, and generating a job profile based on the one or more identified required job skills.