New Feature
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.
Multi-modal signals
Analyzes voice patterns, video, behavioral signals, and transcript content together.
Fully traceable
See exactly how a response was flagged and scored, down to the specific signal and reasoning.
50+ languages
Same quality standards applied consistently across languages and markets.
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.
Consumer Research at Scale
Run large-sample studies with confidence that every response meets a consistent quality bar.
Regulated and Compliance-Heavy Industries
Pharma, finance, and healthcare teams get the documentation and scoring rigor they need to trust AI-moderated research data.
Global and Multi-Market Studies
The same quality standards apply across 50+ languages, so cross-market comparisons are built on consistently vetted data.
Use Case
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