Enterprise Change Management Evaluation via Sentiment Analysis

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Solution Overview

Problem

Manual, subjective evaluation of change management in enterprises is time-consuming and prone to errors, leading to inconsistent results across units and over time, making it difficult to assess and respond effectively to change implementation challenges.

Innovation Solution

A system utilizing a back-end application server with a machine learning algorithm to automatically generate sentiment scores from unstructured text data, calculate overall unit health scores using a weighted average model, and update an interactive graphical change management scorecard for accurate and efficient change management evaluation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual, subjective evaluation of change management is performed, then flexibility in assessment is maintained, but the process becomes time-consuming and error-prone

Engineering Contradiction:

Improveflexibility in assessmentVSAvoidtime-consuming process

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system enables automatic self-evaluation of change management readiness by enterprise units through automated data collection from multiple sources (surveys, performance data, project data) and algorithmic scoring, eliminating the need for manual manager assessments while maintaining comprehensive evaluation coverage

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical evaluation process with an automated computer-based system that uses algorithms, machine learning models, and automated data processing to calculate change management scores, thereby reducing time consumption and human error while preserving assessment flexibility through configurable parameters

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual, subjective evaluation is used, then adaptability to specific cases is possible, but consistency and reliability of results deteriorate

Engineering Contradiction:

Improveadaptability to specific casesVSAvoidconsistency of results

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system maintains adaptability to specific cases by allowing customization of evaluation parameters, weights, and data sources for different enterprise units while ensuring consistency through standardized calculation algorithms and automated scoring procedures that eliminate subjective variability

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system incorporates feedback mechanisms where evaluation results are automatically fed back into the model to refine and adjust parameters over time, improving both consistency through standardized processing and adaptability through continuous learning from actual evaluation outcomes

Inventive Principle:

Principle #23Feedback

3Productivity

If automated evaluation system is implemented, then speed and consistency of results are improved, but system complexity increases

Engineering Contradiction:

Improvespeed of evaluationVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated evaluation system is segmented into distinct functional modules: data collection module, data processing module, scoring calculation module, and result presentation module. Each module performs a specific function, making the overall complex system manageable through clear separation of concerns and independent optimization of each component

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs universal data processing algorithms and standardized evaluation frameworks that can be applied across different enterprise units and change management scenarios, reducing the need for unit-specific customizations and thereby managing system complexity while maintaining versatility

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20230186219A1System and method for enterprise change management evaluation

Publication Date: 2023.06.15 HARTFORD FIRE INSURANCE CO

AI summary

A change management evaluation system may be implemented via a back-end application computer server. An enterprise health data store contains electronic records associated with a set of enterprise units. Each electronic record includes an electronic record identifier and health dimension scores associated with an enterprise’s ability to implement changes. Moreover, one health dimension score is based at least in part on a sentiment score automatically generated by a machine learning algorithm analysis of unstructured text data. The computer server may then automatically retrieve, from the enterprise health data store, the health dimension scores associated with each enterprise unit. A weighted average model may be used to automatically calculate an overall unit health score for each enterprise unit based on the associated health dimension scores. A change management scorecard of an interactive graphical change management display is then updated and displayed based on the overall unit health scores.