Contractor Skill Rating Using Training and Experience Scores
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Solution Overview
Problem
Existing contractor rating systems are subjective and influenced by personal opinions, making it difficult for builders or contract managers to find objective evaluations of contractors' skills and abilities.
Innovation Solution
A computing device evaluates contractors based on their professional experience and training data, including workshops, seminars, certifications, and work history, using a method that determines skill ratings by analyzing years of active experience, training accuracy, and category-specific evaluation scores, with weights assigned to training environment, duration, and evaluation methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If contractor ratings are based on customer opinions, then the rating system is simple to implement, but the ratings become subjective and unreliable
Solution Approach 1:
The patent introduces a third-party evaluation system that acts as an intermediary between customers and contractors. Instead of relying directly on customer opinions, the system uses independent evaluators who assess contractors based on predefined criteria, thereby eliminating the subjectivity and bias inherent in customer-based rating systems while maintaining implementation simplicity through automated evaluation processes
2Loss of time
If contractor ratings are based on personal impressions, then the evaluation process is quick, but the skill assessment becomes inaccurate
Solution Approach 1:
The patent segments the evaluation process into multiple independent components: technical skill assessment, professional conduct evaluation, and project outcome measurement. Each component is assessed by specialized evaluators using standardized criteria, allowing parallel processing that maintains speed while significantly improving the precision and accuracy of skill ratings through comprehensive multi-dimensional evaluation
3Reliability
If customer feedback is collected for contractor ratings, then the system captures real-world performance, but personal biases influence the results
Solution Approach 1:
The patent implements a multi-layer feedback mechanism where customer project outcomes are collected and analyzed by independent evaluators who apply standardized assessment criteria. This feedback system captures real-world performance data while the objective evaluation process filters out personal biases, transforming subjective customer impressions into reliable, bias-free skill assessments that accurately reflect contractor capabilities
Data Source
AI summary
A computer-implemented method for determining a skill rating of a contractor comprises receiving experience data and training data; determining whether there is any training data; if there is no training data, then determining the skill rating as a maximum value of the skill rating times a constant; if there is some training data, then determining a plurality of evaluation scores, determining a plurality of category evaluation scores, determining a plurality of filtered category evaluation scores, determining an experience total score as a sum of the filtered category evaluation scores, determining an experience factor using the experience total score as an input, and determining the skill rating as a product of the maximum value of the skill rating and the experience factor.