We implement our own comprehensive quality methodology, which includes pre-survey, in-survey, and post-survey checks to filter out low-quality responses.
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Pre-Survey Checks
- Bot Detector: We detect and eliminate bots through fingerprint data analysis.
- Duplicated and Exclusions: Our software detects duplicates using device data, IP, and location, ensuring a diverse respondent pool.
In-Survey Quality Controls
- Open Questions: analyzing the content and speed of answers we also disable text pasting to ensure thoughtful responses.
- Trap Questions: Off-topic questions to detect disengage respondents.
- Speeders and Slowers: Reading thresholds identifies those who answer too quickly or slowly.
- Straightliners in Ratings: We detect patterns of consistent ratings across subquestions, indicating hasty completion.
Post-Survey Analysis
- Survey Coherence with AI: Large Language Models (LLM) will check for logical consistency in responses.
