Sentry is your comprehensive solution for combating survey fraud and ensuring data integrity. As fraudulent responses grow more sophisticated, maintaining the reliability of your survey data has never been more critical.
Our mission is to empower researchers with advanced tools and resources to safeguard the authenticity and reliability of their survey responses.
Sentry is a pre-survey vetting tool designed to identify and remove fraudulent and low-quality respondents before they even enter your survey, giving you a cleaner dataset from the start.
But protecting your data doesn’t stop there—pre-survey vetting is just one layer of defense.
Fraudulent responses can distort your research findings. To help mitigate this, Sentry’s in-survey randomized validation questions offer an additional layer of protection. We provide a set of five randomly generated, expertly designed validation questions that seamlessly integrate into your surveys. These questions are engineered to:
Simply download the questions and incorporate them into your surveys to enhance data quality and reduce fraud.
To further assist in identifying and eliminating fraudulent responses, we’ve developed an R package and SPSS code that analyze survey data for signs of manipulation or deceit. Our tools are tailored to help you:
Integrating these tools into your data analysis workflow, you can significantly enhance the credibility and accuracy of your research findings.
Protect your research with Sentry. Download your set of randomized validation questions, explore our advanced fraud detection tools, and take the first step toward more reliable survey results. To receive an email with a random set of yea-say questions, fill out the fields below:
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Want more? Additional protections are available via the full Sentry tool. For more information about how to fully protect your data from other forms of fraud including AI use, low-quality open ends, duplicates, and much more, request a Sentry Demo today.
As a reminder, we recommend excluding participants who incorrectly answer ≥2 of these questions. To see the effects of fraud due to acquiescence bias within your data, and automatically identify and remove these participants, use this R package.
Want more? Additional protections are available via the full Sentry tool. For more information about how to fully protect your data from other forms of fraud including AI use, low-quality open ends, duplicates, and much more, request a Sentry Demo today.