Staff Proficiency Calculation via Operation Log Weighting
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Solution Overview
Problem
Existing methods struggle to evaluate and optimize the productivity of individual staff members within an organization, as work tasks vary significantly, making it difficult to accurately assess and improve overall organizational productivity.
Innovation Solution
A processing method that collects operation logs from staff terminals, extracts feature amounts, and calculates a proficiency level for each staff member based on time required and error rates, using weighting factors to account for work difficulty.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If work evaluation is performed for the entire organization, then workflow optimization is achieved, but individual staff productivity cannot be improved
Solution Approach 1:
The patent segments the organization-wide evaluation into individual staff evaluations by collecting and analyzing operation logs from each staff member's terminal separately, extracting feature amounts for each individual, and calculating proficiency levels on a per-staff basis, thereby enabling individual productivity improvement while maintaining organizational workflow optimization
Solution Approach 2:
The patent introduces operation logs as an intermediary medium that objectively records and reflects each staff member's work behavior, terminal operations, and work patterns, serving as a bridge between individual work activities and proficiency evaluation without requiring complex direct observation or subjective assessment
2Measurement precision
If operation logs are collected from all staff terminals, then individual proficiency measurement becomes possible, but data processing complexity increases
Solution Approach 1:
The patent extracts only the necessary feature amounts from the collected operation logs that are relevant to proficiency evaluation, such as work completion time, error rates, and operation patterns, rather than processing all raw log data, thereby reducing data processing complexity while maintaining measurement precision
Solution Approach 2:
The patent transforms raw operation log data into standardized feature amounts with specific parameters (work time, error rate, operation frequency) that can be systematically analyzed and compared across different staff members and work types, simplifying the processing complexity through parameter standardization
3Measurement precision
If weighting is applied to increase proficiency level accuracy, then evaluation accuracy improves, but calculation complexity increases
Solution Approach 1:
The patent applies different weighting factors to different feature amounts based on their local importance to proficiency evaluation, such as assigning higher weights to error rates for quality-critical work or to work time for efficiency-critical tasks, thereby improving evaluation accuracy through localized optimization rather than uniform processing
Data Source
AI summary
A processing device (10) includes: a collection unit (131) that collects operation logs of terminals used by a plurality of staffs who perform work; a proficiency element extraction unit (132) that extracts a feature amount for each staff from the operation log collected by the collection unit (131); and a proficiency level calculation unit (134) that calculates a proficiency level of work for each staff from the feature amount extracted for each staff by the proficiency element extraction unit (132). The proficiency level calculation unit (134) calculates the proficiency level by performing weighting that increases as the time required for work increases or weighting that increases as an error rate increases on the basis of work performed by the staff when the operation log is collected.