We recruit participants remotely from around the world, which brings diverse perspectives to your study. While most participants provide thoughtful and reliable responses, there may be occasional cases where responses do not meet expectations.

To support the integrity of your research, we offer free replacements for any low-quality participants. There are also some proactive measures you can take to help ensure high-quality responses from the outset, saving time and enhancing the overall quality of your data.

Adding screening questions to your study allows you to ensure that your audience is exactly who you intend them to be.

You can add screening questions to your study via the Questionnaire tab of your study.

A good screening question doesn't let the participant guess what the 'correct' answer is. For example, try to give them a variety of different options to select from, as opposed to a yes/no question.

Screen out low-quality participants by adding a red herring question to your screener. By asking them a simple question with pre-set answers, you are ensuring that only those paying attention move through to your study.

Some great examples of red-herring questions:

Include an open-text question in your study to easily identify low-quality participants in your results. This may not discourage participants, however it will make it easy for you to select and exclude participants for us to replace for you.

Incorporate different formats such as multiple choice, scale ratings, and open-ended questions to keep participants engaged and deter automated or inattentive responses.

Conduct a pilot test to verify that your screening and red herring questions effectively filter out low-quality participants without excluding the genuinely qualified ones. Adding these best practices into your studies can enhance the reliability and quality of your participant pool, resulting in more credible and useful research insights.