Dynamic Survey Evaluation System for Data Quality
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Solution Overview
Problem
Online surveys lack the personal touch and interactivity, leading to insufficient data quality and quantity, as respondents provide answers without perceived effort from the surveyor to understand unique responses.
Innovation Solution
A method and system that present online surveys to users, evaluate user input quantitatively and qualitatively against reference standards and keywords, and request additional input based on analysis, ensuring data meets predefined thresholds, thereby enhancing data quality and quantity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If online surveys are used to collect user feedback, then data collection cost and ease of operation are improved, but data quality and quantity are insufficient
Solution Approach 1:
The system implements automated feedback loops where survey responses are evaluated against reference standards, and additional questions are dynamically generated when responses fall below quality thresholds. This ensures continuous improvement of data quality while maintaining online survey efficiency.
Solution Approach 2:
The system dynamically adjusts survey parameters including question selection, follow-up prompts, and evaluation criteria based on real-time analysis of respondent answers. This adaptive approach maintains data quality without requiring manual intervention in each survey instance.
2Productivity
If automated evaluation of user input is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
Reference standards, evaluation criteria, and quality thresholds are pre-configured and stored in the system before survey deployment. This preliminary setup enables automated real-time evaluation without adding complex processing logic during active data collection.
Solution Approach 2:
The system performs self-evaluation of survey responses against predefined standards, automatically identifying quality issues and generating appropriate follow-up questions without external intervention. This automation maintains productivity while keeping the evaluation logic contained within the survey platform itself.
Data Source
AI summary
System and methods for populating a database with information from users. A memory stores reference standards, reference keywords, and rules for the reference keywords. An on-line survey question relating to the product/service is presented to the users. Input is received from the users in response to the presented survey question and has content. The received input is stored in the database. A quantity of the content of the received input and a quality of the content of the received input is evaluated.