How we Detect and Handle Incoherent Answers in Open-ends

Overview

The Algorithm for Incoherent Answers Involving Open-Ends is a vital quality check we use to ensure consistency throughout the survey. By analyzing coherence between responses to closed and open-ended questions, the algorithm identifies misaligned or inconsistent answers, enhancing the overall reliability of your data.

How it works

For example:

• Open-Ended Question: “Which brand do you know?”
• Closed-Ended Question: “Among these brands, which one do you know?”

If a respondent names a brand in the open-ended question that does not appear in their closed-ended selection, the algorithm detects this inconsistency.

Why it matters

• Detecting Fraudulent Behavior: Fraudulent respondents who lack knowledge of the questionnaire topic often fail to link related questions logically. This behavior is flagged as incoherent.

• Identifying Random Responses: Unengaged respondents answering arbitrarily are similarly flagged, as their responses tend to lack coherence.

By using this algorithm, we ensure that only consistent, thoughtful, and engaged responses are included in your dataset, improving the accuracy and reliability of your insights.