Learn how to test and validate your research study before launching
Once you’ve configured your topic guide and fine-tuned your advanced settings, it’s time to test your study before launching it to real participants. Testing ensures your interview flows smoothly and your AI interviewer behaves as expected.
Study Testing vs. Live Study: Testing creates a safe environment where you can experience your interview exactly as participants will, but without affecting your actual study data. Think of it as a dress rehearsal before the real performance.Interview Flow: This refers to how questions are presented, how the AI responds to participant answers, and how follow-up questions are triggered. Testing helps you verify that this flow feels natural and captures the insights you’re looking for.Question-Level Testing: Instead of going through the entire interview each time, you can jump to specific questions to test individual parts of your study. This is especially useful when you’ve made changes to particular questions and want to see how they perform.
Test multiple scenarios: Don’t just give “perfect” answers during testing. Try giving short responses, long responses, and even slightly off-topic answers to see how your AI interviewer handles different participant behaviors.
Use the question-level testing strategically: When you make changes to your topic guide, test from that specific question rather than starting from the beginning each time. This saves time and lets you focus on what you’ve modified.
Share test links with team members: The “copy test link” option is perfect for getting feedback from colleagues or stakeholders before launch. They can experience the interview without needing access to your Conveo account.
Pay attention to the preview stage: The camera and microphone setup screen is what participants will see first. Make sure the instructions are clear and the technical requirements work smoothly.