Misconduct Metrics Reporting Engine for Anonymous Case Assessment

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Solution Overview

Problem

Existing systems fail to provide a safe, easy, and un-shameful mechanism for reporting workplace harassment, leading to low reporting rates due to victim uncertainty, fear of repercussions, and trauma, while employers lack timely awareness of such incidents.

Innovation Solution

A victim reporting and notification system utilizing a computer-based reporting app that allows employees to anonymously report misconduct, connected to a central operational facility for data analysis and scoring, enabling objective assessment and appropriate action.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional reporting mechanisms are used, then employers can receive harassment reports, but victims experience fear of repercussions, shame, and uncertainty leading to low reporting rates

Engineering Contradiction:

Improvereporting effectivenessVSAvoidreporting ease

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces a centralized reporting platform that acts as an intermediary between victims and employers. This platform receives reports anonymously, analyzes them using AI scoring mechanisms, and only presents validated reports to employers. This intermediary structure protects victims from direct confrontation and potential retaliation while maintaining reporting effectiveness.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements automated AI-based scoring and validation of reports, allowing the platform to self-assess the credibility and severity of each report without requiring victim advocacy or employer preliminary review. This self-service mechanism reduces the emotional burden on victims and accelerates the reporting process.

Inventive Principle:

Principle #25Self-service

2Object-affected harmful factors

If anonymous reporting is implemented, then victim safety and comfort improve, but employers lack timely awareness and context of incidents

Engineering Contradiction:

Improvevictim safetyVSAvoidemployer awareness

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The system implements a feedback loop where the AI analysis engine processes anonymous reports and generates structured summaries with severity scores, confidence levels, and key findings. This feedback mechanism provides employers with actionable information while preserving victim anonymity, balancing safety with employer awareness.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces traditional human review of anonymous reports with an AI-based scoring and analysis system. This mechanical substitution automates the extraction of critical information from anonymous submissions, providing employers with timely, structured data without requiring direct victim-employer interaction.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If manual report review processes are used, then employers can assess harassment claims, but the process is time-consuming and lacks objectivity

Engineering Contradiction:

Improveassessment objectivityVSAvoidresponse time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system transforms subjective harassment assessments into objective, quantifiable parameters through AI scoring. Reports are evaluated based on predefined criteria including severity levels, frequency indicators, and confidence scores, converting qualitative judgments into measurable metrics that enable rapid, consistent processing.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent employs advanced AI and machine learning algorithms that rapidly analyze and process reports, accelerating the assessment process exponentially compared to manual review. This computational acceleration maintains objectivity while reducing response time from days to minutes.

Inventive Principle:

Principle #38Strong oxidants (Accelerated oxidation)

4Measurement precision

If comprehensive data collection is implemented, then reporting accuracy and analysis quality improve, but system complexity and data management burden increase

Engineering Contradiction:

Improvereporting accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the data collection and processing system into modular components: data ingestion modules, AI analysis engines, scoring mechanisms, and reporting interfaces. Each module handles specific data types and processing tasks independently, reducing overall system complexity while maintaining comprehensive data collection capabilities.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250384031A1Misconduct metrics reporting generation and rendering engine apparatuses, methods, systems and media

Publication Date: 2025.12.18 WEINDLING ARIEL D

AI summary

A misconduct metrics report generation request datastructure is obtained. Misconduct metrics report parameters associated with the misconduct metrics report generation request datastructure are determined. The misconduct metrics report parameters specify a misconduct metric. A database query for the specified misconduct metric is dynamically generated. The database query operates on structured data associated with existing misconduct reports. A set of tuples resulting from execution of the dynamically generated database query is transformed into structured chart data for the specified misconduct metric. Rendered in-memory HTML is generated using an HTML template file and a chart image file generated using the structured chart data for the specified misconduct metric. A misconduct metrics report PDF file is generated using the rendered in-memory HTML.