Listen Labs compresses research from weeks to hours. AI moderators find and screen participants, run conversation guides across markets, and record high-fidelity voice or text sessions. The platform synthesizes themes, quotes, and contradictions with links to evidence you can audit. Fraud checks, language coverage, and consent flows protect data, while polished briefs and charts help product, marketing, and execs act fast. Fraud screening and language support widen reach without sacrificing quality, and consent workflows build trust with participants.
Generate discussion guides, schedule across time zones, and let AI moderators probe, ladder, and clarify in natural conversation. Run hundreds of parallel sessions without losing depth, then review transcripts with time-linked audio for nuanced context. Interviews adapt based on answers to avoid scripted feel, and follow-ups capture why a choice was made rather than just what happened. Branching logic keeps interviews conversational, unpacking motivations, barriers, and the language customers use unprompted. Scales to hundreds of participants while preserving follow-up depth, with highlights for quick triage before deep review.
Recruit from profiled panels and screen for fit, experience level, and recency so answers reflect the right audience. Block suspected fraud and duplicates automatically, and document consent for compliance reviews later. Quota tools balance cohorts by geography or role, and multilingual prompts reach respondents in 50+ languages. Fraud signals blend device, behavior, and response patterns; blocklists stop repeat offenders. Screeners capture consent and demographic balance so segments mirror real buyers rather than convenient but noisy samples.
Auto-tag themes and entities, surface contradictions, and extract memorable quotes with citations to the exact clip. Export summaries tailored for PMs, marketers, or leadership with next-step recommendations. Comparative views show how attitudes shift by segment, and trend charts reveal where sentiment moves after launches. Analysts can merge, split, and rename tags to reflect evolving frameworks, keeping longitudinal studies comparable. Exports include attributions and timestamps so slide authors verify context quickly during reviews.
SOC 2 practices, role-based access, and retention controls protect recordings and transcripts. Redaction removes sensitive fields in shared views, and audit trails show who accessed what and when. Regional processing options support data residency, and legal holds preserve records for investigations without exposing broader libraries. Granular permissions restrict raw audio access, while redacted summaries inform wider stakeholders without leaking PII. Encryption at rest and in transit pairs with retention windows aligned to policy.
Send insights to Jira, Slack, Zendesk, and BI tools so tasks, tickets, and dashboards reflect what customers actually said. APIs and webhooks automate intake, status, and delivery to keep research moving with minimal handoffs. Templates align outputs to roadmap rituals, and connectors keep stakeholder updates in the systems they already trust. Jira issues, Slack threads, and dashboards update from a single source of truth. Webhook retries and backoff keep automations stable, with activity logs for what moved, where, and why.
Recommended for product, UX research, growth, and insights teams that need qualitative depth on tight timelines. Listen Labs blends moderator skill with automation, producing evidence that wins trust in roadmap meetings. Leaders see risks and bright spots early; practitioners spend time designing better prompts and decisions instead of wrangling logistics. B2B and consumer teams compare segments side by side, while agencies package repeatable processes with citations that teach stakeholders how customers speak.
Traditional qual trades scale for nuance and drowns teams in transcription. Listen Labs automates recruiting, interviewing, and synthesis, turning hours of audio into defensible insights with citations. Because governance is built in, findings move from curiosity to action—less rework, clearer priorities, and faster learning loops. Stakeholders argue less about anecdotes because clips are attached, and teams build a searchable memory that compounds insight instead of restarting each quarter.
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