Dynamic Questionnaire Adaptation for Repayment Plan Accuracy

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Solution Overview

Problem

Financial institutions face challenges in efficiently and accurately determining repayment plans for customers with past-due loans, as existing methods often require excessive questioning and may not account for user device type, leading to inefficiencies and inaccuracies.

Innovation Solution

A system that calculates a user risk score and dynamically modifies the questionnaire based on the user risk score and device type, adapting the questions to receive accurate answers and determine suitable repayment plans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a comprehensive questionnaire is used to determine repayment plans, then accuracy of repayment plan determination is improved, but network resource usage increases and processing time increases

Engineering Contradiction:
Improveaccuracy of repayment plan determinationVSAvoidnetwork resource usage
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The questionnaire is divided into multiple subsets (first subset, second subset, third subset) that are dynamically selected and presented to users in sequence. Only relevant questions are asked based on user responses and device type, rather than presenting all questions at once. This segmentation reduces unnecessary network traffic while maintaining accuracy by asking only the necessary questions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically changes the parameters of the questionnaire by selecting different subsets of questions based on user risk scores, device type, and previous answers. The questionnaire structure is not fixed but adapts its content and length based on real-time conditions, optimizing the balance between accuracy and resource usage.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If a comprehensive questionnaire is used to determine repayment plans, then accuracy of repayment plan determination is improved, but processing efficiency decreases

Engineering Contradiction:
Improveaccuracy of repayment plan determinationVSAvoidefficiency of determining repayment plan
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The questionnaire is divided into multiple subsets (first subset, second subset, third subset) that are dynamically selected and presented to users in sequence. Only relevant questions are asked based on user responses and device type, rather than presenting all questions at once. This segmentation reduces unnecessary network traffic while maintaining accuracy by asking only the necessary questions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by calculating user risk scores and determining device types before presenting the questionnaire. This preliminary analysis allows the system to pre-determine which questionnaire subsets are most relevant, streamlining the interaction process and improving overall efficiency by avoiding unnecessary questions.

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If standard questioning methods are used without considering device type, then ease of operation is maintained, but measurement precision of user responses decreases

Engineering Contradiction:
Improvesimplicity of questionnaire interactionVSAvoidaccuracy of user responses
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The system applies local quality by tailoring the questionnaire content and presentation to the specific device type being used. Different device categories receive different subsets of questions optimized for their capabilities and user interaction patterns. This localized adaptation improves response accuracy while maintaining ease of operation for each specific device type.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The questionnaire dynamically adapts its content based on detected device type. The system modifies which questions are presented, how they are presented, and the sequence of questioning based on the user's device category. This dynamic adjustment optimizes both accuracy and ease of operation for diverse device types without requiring a completely different system for each device.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS9582829B2Dynamically modifying an application questionnaire
Publication Date: 2017.02.28 BANK OF AMERICA CORP
  • US9582829B2 patent drawing
  • US9582829B2 patent drawing
  • US9582829B2 patent drawing

AI summary

In some embodiments, a system calculates a user risk score, and determines a first subset of questions using the user risk score and type of user device. The system communicates and receives answers to the first subset of questions. The system determines a second subset of questions based on the answers to the first subset of questions. The system communicates and receives answers to the second subset of questions. The system determines whether the answers to the first subset of questions are accurate. If the verification indicates that the answer to one or more of the first subset of questions is not accurate, the system determines a third subset of questions. The system communicates and receives answers to the third subset of questions. The system determines a plurality of repayment plans based on the user risk score and the answers to the first, second, and third subset of questions.