Smart Device Data Collection for Job Skillset Analysis

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Solution Overview

Problem

Traditional job search algorithms and data collection methods are inefficient due to reliance on subjective job post descriptions and generic competency tests, which fail to accurately identify the necessary skillsets for specific job positions, leading to inaccurate candidate selection and missed opportunities for secondary job placements.

Innovation Solution

A system and method using smart devices to collect data on job-specific skillsets from employees, analyzing survey responses and performance data to determine required competencies, and creating qualification tests that predict performance scores, allowing for objective evaluation and secondary job recommendations without additional testing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If active data collection techniques are used to collect accurate job skillset data, then data accuracy is improved, but participant convenience deteriorates due to requiring user action and time investment

Engineering Contradiction:

Improvedata accuracyVSAvoidparticipant convenience

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically collects data by monitoring and analyzing existing digital footprints such as email communications, calendar events, and task management data. Employees passively provide data through their normal work activities without needing to complete surveys or tests, making the data collection self-service oriented and convenient while maintaining high accuracy through objective analysis of actual work patterns

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual survey-based data collection with automated computational analysis of digital work data. Instead of relying on participants to manually input information through surveys, the system uses algorithms to extract and analyze skillset information from existing digital communications and task data, substituting mechanical human effort with automated processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Quantity of substance

If generic competency tests are used for all job positions, then testing cost is reduced, but measurement precision deteriorates because generic tests cannot identify job-specific skillsets

Engineering Contradiction:

Improvetesting costVSAvoidskillset identification accuracy

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The system dynamically generates customized competency tests for each specific job position by analyzing the unique skillsets required for that role. Instead of using static generic tests for all positions, the system adapts test content based on job-specific requirements extracted from digital work data, ensuring each candidate is assessed on relevant skills while maintaining cost efficiency through automated test generation

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies local quality by tailoring competency assessments to specific job positions rather than using uniform generic tests. Each job position receives customized test content that reflects its unique skillset requirements, ensuring that the measurement precision matches the specific needs of each role while maintaining cost efficiency through automated generation

Inventive Principle:

Principle #3Local quality

3Ease of manufacture

If job posts use generic descriptions to reduce drafting effort, then ease of manufacture is improved, but reliability deteriorates because generic descriptions do not accurately reflect actual job requirements

Engineering Contradiction:

Improvejob post creation effortVSAvoidjob description accuracy

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The system continuously monitors and analyzes actual work communications and task data to extract real skillset requirements. This feedback loop allows the system to update and refine job descriptions based on objective evidence from actual work patterns, ensuring accuracy while maintaining ease of creation through automated generation from analyzed data

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of digital work data to identify skillset requirements before job posts are created. By pre-analyzing communications and task data to determine actual job requirements, the system can generate accurate job descriptions in advance without requiring manual drafting effort, ensuring both reliability and ease of manufacture

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11120404B2Method and system for dynamic data collection while optimize a smart device

Publication Date: 2021.09.14 CAPITAL ONE SERVICES LLC

AI summary

A method for collecting data using a smart device such as a cellphone is disclosed. The method is implemented in connection with a recommendation algorithm. In one step, the method determines the technical feasibility of collecting data for the smart device. The method also facilitates data collection when it is convenient for the user. This method optimizes data collection accuracy and technically enhances the smart device because it optimizes the timing of the data collection.