AI-Moderated Interview Transcripts

AudioTextEnterprise
Audio + text
Paired delivery
Verified
Participants
Speaker-labeled
Transcripts
Screener
Metadata included
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Transcribed voice interviews run by Terac's AI moderator with verified participants, with audio, speaker labels, and structured screener metadata.

Recordings and transcripts of voice interviews conducted by Terac's AI moderator with identity-verified participants. Each interview pairs the audio with a speaker-labeled transcript and structured metadata from the screener, so you get both the raw signal and the context behind who is speaking.

Every interview is collected with explicit participant consent, transcribed and reviewed, and screened for PII before delivery. Participants are verified through Terac's attestation flow.

Highlights

  • Voice interviews with verified participants, not synthetic personas
  • Audio paired with speaker-labeled, timestamped transcripts
  • Structured screener and attestation metadata per participant
  • Consistent AI moderation for comparable, structured sessions
  • Consent-cleared and PII-reviewed before delivery

Audience coverage

Interviews across consumer and professional audiences sourced from the Terac network. Coverage extends to specific audiences, topics, or screener criteria on request.

Sample interview types
Product feedbackConcept testingUsability sessionsCustomer discoveryBrand and messagingDomain expertiseLongitudinal check-insScreened recruits

Capture and format

Delivered as audio plus JSON transcripts with speaker labels, timestamps, and screener metadata. Interviews are conducted by the Terac voice moderator over the platform.

Annotations

Speaker-labeled transcripts and screener metadata as standard, plus optional sentiment, topic, and theme coding on request.

Provenance

  • Identity-verified participants with explicit consent
  • Attestation and screener provenance captured per participant
  • PII reviewed and redacted before delivery
  • Per-interview audit trail and licensable usage rights

Use cases

  • Voice-agent and conversational-interview model training
  • Qualitative research at scale and theme extraction
  • Speech and transcript models for interview settings
  • Evaluation of moderation and follow-up question quality
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