We’re opening beta access to Ballpark’s new AI Interview step, built to help teams collect richer spoken feedback and uncover the “why” behind each response.
Instead of relying on a single open-ended question, AI Interview can ask tailored follow-ups based on what each participant says, what they’ve already answered, and how they’ve interacted with the rest of your study. That means you can capture more context, clearer reasoning, and more natural spoken feedback — without having to moderate every conversation yourself.
After testing AI Interview with over 1,000 participants, we’re ready to open it up in beta.
What’s included:
Adaptive probing — Start with your own question, choose how many follow-ups you want, and let Ballpark ask relevant follow-up questions based on each participant’s answer.
Custom prompts — Tell Ballpark what to listen for, such as products, competitors, objections, or specific keywords, and decide how the interviewer should respond when they’re mentioned.
Required spoken responses — Require participants to speak before continuing, helping you capture richer transcripts, clearer reasoning, and more useful video or audio feedback.
Follow-ups with memory — Ballpark can reference what a participant has already done in the study, from earlier answers to survey responses and UX task behaviour, so follow-ups feel more relevant and connected.
To try it, open any study, go to Build, click Add step, and select AI Interview. Add your opening question, then use Options to choose the number of follow-ups or add custom prompts.
Improvement
