Scale your research, not your workload
Run more user interviews, uncover deeper insights, and accelerate qualitative research with AI.
Designed to work with you, Optimal’s AI Interviewer is an AI-moderated research tool that helps you conduct structured, adaptive interviews at scale. Now in Early Access.
Guide every interview with the right context
Give the AI Interviewer the information it needs to conduct meaningful conversations and deliver insights that stay aligned with your research objectives.
Adaptive follow-up questions in real time
The AI Interviewer listens and adapts to each participant's responses, asking relevant follow-ups to explore motivations, behaviors, and decision-making in greater depth.
Move from conversations to actionable insights
Spend less time recruiting, scheduling, and synthesizing interviews and more time focused on insights. Explore:
Why teams use an AI Interviewer
Frequently Asked Questions
Frequently Asked Questions
An AI Interviewer is an AI-powered research assistant that conducts moderated interviews. With Optimal, the AI Interviewer references your research goals, discussion guide, and study context and adapts in real time by asking relevant follow-up questions based on each participant's responses.
The AI Interviewer is designed to work with you, not instead of you, so you can move faster without losing the depth and human nuance that make research valuable. Researchers define the study, provide context, guide the conversation, and interpret the results, while the AI helps scale interview execution and analysis.
The AI uses your research goals, discussion guide, uploaded materials, and the participant's previous responses to generate relevant contextual follow-up questions throughout the interview.
Yes. You can upload an existing discussion guide or supporting documents, or generate one with AI before launching your study.
Yes. Choose whether the AI follows your guide closely for consistency or allows greater flexibility to explore unexpected insights.
Optimal's AI Interviewer is designed for qualitative research where you want to understand participants' thoughts, motivations, behaviours, and decision-making. It's well suited for studies that benefit from adaptive follow-up questions and in-depth conversations.
Common use cases include user interviews, customer interviews, usability testing, product discovery, customer experience (CX) research, market research, exploratory research, and jobs to be done (JTBD) interviews.