Direct answer
An AI voice interview platform conducts spoken interviews with an AI interviewer. Participants answer out loud, the AI listens and follows up, and the platform turns the conversation into a transcript, summary, and structured review output.
Voice changes the signal you get from an interview. Written answers are useful when precision matters, but spoken answers reveal how a person explains tradeoffs, reacts to ambiguity, and thinks through a problem in real time. That makes voice especially useful for behavioral interviews, sales screens, customer support roles, user research, and interview practice.
Why Use Voice Instead of Chat?
- More natural responses: People often give richer examples when speaking than when typing into a form.
- Communication signal: Voice shows clarity, confidence, pacing, and how someone handles follow-up questions.
- Lower writing burden: Participants do not need to compose polished written answers to every question.
- Better discovery: Research participants can talk through stories, frustrations, and recent behavior.
When Voice Is Not the Best Mode
Voice is not always the answer. Chat can be better for low-bandwidth contexts, accessibility preferences, written assessments, or tasks where exact wording matters. Video can be better when screen sharing, visual explanation, or presentation style is central to the evaluation.
How Aural Handles Voice Interviews
In Aural, teams can enable voice when creating or editing an interview. The AI interviewer speaks with the participant, adapts follow-up depth, and produces a transcript and report after the session. Teams can also combine voice with chat or video depending on the interview design.
Read the docs version here: AI Voice Interview Platform.