How We Detect and Handle Bad Open-Ended Answers

Overview

Our algorithm performs a specialized quality check for open-ended questions, designed to flag and disqualify low-quality responses. It detects signs of low engagement, incoherence, irrelevance, and disrespect, ensuring fraudulent respondents are excluded from the final sample.

Open-ended questions are unique because they allow respondents to articulate their thoughts in their own words, offering valuable insights into their engagement, expertise, and authenticity. Unlike closed-ended questions, they provide no pre-defined options, making them a key indicator of genuine participation.

By rigorously evaluating open-ended responses, we guarantee that your dataset contains only authentic, high-quality feedback. This ensures the insights delivered are both reliable and reflective of the true perspectives of your audience.