Listen Labs | AI-led User Interviews

New Feature

An AI system running in the background of every interview, detecting fraud and scoring quality in real time.

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Capabilities

Built into every study on the platform, from screening to scoring.

Runs on every interview

Quality Guard is on by default for every study on the platform.

Pre-study and post-study

Screens participants before they enter the interview and scores each response once the study completes.

Fully traceable

See exactly how a response was flagged and scored, down to the specific signal and reasoning.

Multi-modal signals

Analyzes voice patterns, video, behavioral signals, and transcript content together.

50+ languages

Same quality standards applied consistently across languages and markets.

Features

Quality Guard screens, scores, and replaces responses across every study.

Real-Time Detection

Quality Guard analyzes voice patterns, response depth, and behaviors like tab-switching and screen reading. It screens for contradictions, copy-pasted answers, repeat respondents, and other fraud. Every flagged interview is backed by human review.

Built-In Quality Scoring

Each response is scored across signals including informativeness, response depth, engagement, follow-up quality, repetitiveness, and confusion. Responses that don't meet the bar are removed and replaced.

Enterprise-Grade Security

Listen is SOC 2 Type II, GDPR, and CCPA compliant, with Triple ISO certification across AI Management (42001), Security (27001), and Privacy (27701). All data is protected with 256-bit encryption. Your data is never used to train AI models.

Human review layer

Quality Guard is backed by a dedicated research team that manually reviews flagged responses. Every project has a human check on top of the automated system.