Experience Rating System for Skill Discovery via Reviewer Credibility

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Solution Overview

Problem

Existing methods for assessing the skill level of job candidates are prone to errors and misrepresentation, as experience summaries often overstate qualifications, and existing technologies struggle to accurately identify skills and traits from these summaries without relying on computer analysis of text.

Innovation Solution

The experience rating and skill discovery system (ERSDS) involves a user selecting an experience summary dataset, associating it with a skills profile, inviting reviewers to rate the summary, and using a relationship measurement module to compute the relationship depth between the candidate and reviewers, while a credibility module evaluates the ratings to generate aggregated scores for plausibility and credibility, thereby identifying skills and traits without relying on computer analysis of text.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If experience summaries are used to assess candidate skills, then the hiring process can be streamlined, but the accuracy and reliability of skill assessment deteriorates due to overstatement and misrepresentation

Engineering Contradiction:

Improvehiring process efficiencyVSAvoidskill assessment accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent introduces reviewers as intermediaries between the candidate's experience summary and the hiring decision. Reviewers validate the claimed skills by providing independent assessments, thereby mediating the information flow and improving reliability without slowing down the overall hiring process

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms where reviewers provide credibility ratings and skill validations on candidate experience summaries. This feedback loop allows continuous improvement of assessment accuracy while maintaining efficient hiring workflows through automated aggregation of reviewer inputs

Inventive Principle:

Principle #23Feedback

2Extent of automation

If computer analysis of text is used to identify skills, then the process can be automated, but the ability to accurately associate skills with claims deteriorates due to lack of contextual understanding

Engineering Contradiction:

Improveskill identification automationVSAvoidskill-claim association accuracy

Core Design Contradiction:

Extent of automationVSMeasurement precision

Solution Approach 1:

Reviewers serve as human intermediaries who provide contextual understanding of skill claims that computer algorithms cannot capture. They interpret the nuances of experience summaries and associate skills with claims based on their professional judgment, maintaining high precision while automation handles the aggregation and processing

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If multiple reviewers are invited to rate experience summaries, then the credibility assessment improves, but the system complexity increases

Engineering Contradiction:

Improvecredibility assessment accuracyVSAvoidsystem structure complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple reviewer assessments into a unified credibility score through automated aggregation algorithms. This combining process maintains the reliability benefits of multiple perspectives while hiding the underlying complexity from users, presenting a simplified interface that just requires candidate invitation and rating input

Inventive Principle:

Principle #5Merging (Combining)

4Reliability

If relationship depth between candidate and reviewer is considered, then the credibility of ratings improves, but the data collection requirements increase

Engineering Contradiction:

Improverating credibilityVSAvoiddata collection burden

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system performs preliminary actions by automatically collecting and pre-processing relationship data between candidates and reviewers before the actual rating process. This preliminary data gathering and organization reduces the information processing burden during credibility assessment, allowing relationship depth to be considered without proportionally increasing data collection requirements

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11847177B2Relationship and credibility based experience rating and skill discovery system

Publication Date: 2023.12.19 METABYTE INC

AI summary

An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings. An aggregation module aggregates the experience ratings and generates an aggregated experience credibility measure and an aggregated experience plausibility measure, and further an aggregated skill amount measure and an aggregated skill credibility measure corresponding to the experience summaries in an experience summary list and the skills of the opportunity seeker respectively, using a relationship depth computed from the relationship data and the experience ratings received by a user association module and a rating module respectively.