Dynamic Survey Termination for Application Rationalization
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Solution Overview
Problem
The process of application rationalization, which involves reviewing an organization's application portfolio and providing migration and modernization recommendations, requires significant resources due to the collection and analysis of extensive data from stakeholders, particularly in large portfolios with hundreds or thousands of applications.
Innovation Solution
A method utilizing a logistic regression model to administer surveys to stakeholders, determining disposition probabilities, and automatically terminating the survey when a probability difference threshold is met, allowing for recommendations based on less than all survey questions, thereby reducing the time and resources needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed surveys and interviews are conducted with stakeholders to collect application information, then the accuracy and completeness of application rationalization recommendations is improved, but the time and resources required for data collection and analysis increases significantly
Solution Approach 1:
The patent applies partial action by administering only a subset of survey questions to stakeholders rather than completing the full survey. The system dynamically determines when sufficient data has been collected to make accurate disposition recommendations, allowing the survey to be terminated early when the probability difference between top disposition options falls below a threshold, thus reducing time investment while maintaining recommendation accuracy
Solution Approach 2:
The system continuously monitors the probability differences between disposition recommendations as survey responses are collected. This feedback mechanism allows the system to dynamically assess whether sufficient information has been gathered to make accurate recommendations, and to terminate the survey early when confidence thresholds are met, balancing accuracy requirements with time efficiency
2Reliability
If comprehensive application information is collected from all survey questions, then the quality of disposition recommendations is improved, but the burden on stakeholders and experts increases
Solution Approach 1:
The system reduces stakeholder burden by administering only the necessary subset of survey questions rather than requiring completion of all questions. By dynamically determining when sufficient information is collected based on probability thresholds, the system minimizes the time and effort stakeholders must invest while still gathering enough data to generate reliable disposition recommendations
Solution Approach 2:
The survey administration is made dynamic rather than static. The system adapts the number of questions administered based on real-time probability assessments, adjusting the data collection process to match the actual information needs for making disposition recommendations, thereby reducing unnecessary burden on stakeholders
3Loss of information
If all survey questions are administered to ensure complete data collection, then the thoroughness of analysis is improved, but the productivity of the rationalization process decreases
Solution Approach 1:
The system collects only the partial set of data necessary to achieve confident disposition recommendations rather than gathering all possible information. By terminating surveys early when probability thresholds are met, the system maintains sufficient data completeness for accurate recommendations while dramatically improving the speed and productivity of the rationalization process
Solution Approach 2:
The system autonomously determines when sufficient data has been collected to make accurate recommendations, eliminating the need for manual assessment of data completeness. The automated probability threshold monitoring enables the system to self-regulate the data collection process, ensuring adequate information is gathered while maximizing processing efficiency
Data Source
AI summary
A method of administering a survey includes collecting response data from an introductory question set selected from the questions of the survey. The method calculates disposition probabilities based on the response data and a probability difference between two of the disposition probabilities. The method ends the survey based on a comparison between the probability difference and a probability difference threshold criterion.