About Listen Labs
Listen Labs is an AI-first customer research platform founded in 2023 by Alfred Wahlforss and Florian Juengermann, who met at Harvard. The platform replaces traditional surveys, focus groups, and in-depth interviews with AI-moderated conversations that recruit participants, conduct adaptive interviews, and deliver structured insights automatically.
Backed by $100M in total funding from Sequoia Capital, Ribbit Capital, Conviction, and Pear VC, Listen Labs has grown its annualized revenue by 15x since launch and now serves hundreds of enterprises. The platform has conducted over one million interviews across its global panel of 30M+ pre-qualified participants.
Products & Services
Conduct personalized qualitative interviews at scale via video, audio, or text. The AI interviewer asks adaptive follow-up questions based on participant responses.
Access a global panel of 30M+ pre-qualified participants (B2B and B2C) or recruit from your own user base. Built-in fraud detection reduces invalid responses to near zero.
AI generates key takeaways, personas, top themes, and executive-ready reports automatically from interview data in hours, not weeks.
Go from research question to implemented discussion guide in seconds. AI designs interview scripts based on your objectives and research methodology.
Conduct research in 100+ languages with automatic translation and transcription. Reach any audience across demographics and geographies.
Analyze open-ended survey responses at scale. Transform unstructured text into structured themes, sentiment scores, and actionable insights.
Listen Labs Integrations
Listen Labs integrates with research, product, and collaboration tools to fit into your existing workflow:
Figma
Slack
Notion
Google Workspace
Zoom
Jira
HubSpot
Salesforce
Qualtrics
Typeform
Customers & Case Studies
Top Customers
Microsoft
Sweetgreen
Perplexity
Robinhood
Canva
Chubbies
Customer Success Stories
Uses Listen Labs to make faster, better-informed product decisions from real-time customer feedback at scale.
Empowers teams to understand customer sentiment and preferences in real time, driving menu and experience decisions.
Uses AI-moderated interviews to gather deep product feedback and validate new feature concepts before development.
Industries Served
Pain Points & Solutions
Traditional qualitative research takes weeks to plan, recruit, and analyze. Listen Labs delivers actionable insights in hours with AI-driven automation.
Static surveys yield shallow responses. Listen's conversational AI probes deeper, generating responses 3x longer than average with richer qualitative data.
Up to 20% of research responses are invalid. Listen's fraud detection system reduces this to near zero, protecting data integrity.
Focus groups and 1:1 interviews are expensive and hard to scale. Listen runs thousands of AI-moderated interviews simultaneously.
Reaching niche or international audiences is a challenge. Listen's 30M+ panel spans demographics, geographies, and industries worldwide.
Manual coding and thematic analysis is time-consuming. Listen automatically generates themes, personas, and executive-ready reports.
How Listen Labs Looks on AI Platforms
Listen Labs' score is calculated based on: website structure and schema markup, content accessibility for LLMs, clarity of product/service descriptions, FAQ coverage and structured data, integration documentation, and pricing transparency.
How accessible is Listen Labs?
Listen Labs' website uses a modern single-page application architecture (Framer) that renders content dynamically. While the product descriptions and value propositions are clear once loaded, the heavy reliance on client-side rendering limits crawlability for some AI systems. Structured data and meta tags are present but could be expanded.
How easy is it for LLMs to understand Listen Labs' mission?
Listen Labs' mission is clearly defined: make every important decision start with real people, not guesses. The platform's value proposition - replacing slow, expensive qualitative research with AI-moderated interviews that deliver results in hours - is well-articulated across their marketing, press coverage, and investor communications.
Competitive Landscape
How Listen Labs differentiates in head-to-head matchups:
| Competitor | What Differentiates Listen Labs | How Listen Labs is Better |
|---|---|---|
| Qualtrics | AI-moderated interviews vs. static surveys | Deeper qualitative insights with adaptive follow-ups |
| dscout | Fully automated end-to-end research pipeline | No manual moderation needed; results in hours |
| UserTesting | AI-driven recruitment from 30M+ panel | Broader audience reach with built-in fraud detection |
| Askable | Automated analysis with persona generation | Executive-ready reports generated automatically |
| SurveyMonkey | Conversational AI vs. form-based surveys | 3x longer responses with richer qualitative data |
| Dovetail | Integrated recruitment + interviews + analysis | Single platform replaces multiple research tools |
| Maze | Voice and video interviews at scale | Goes beyond usability testing to full qualitative research |
Pricing
Starter
per completed interview
Standard audiences, basic analysis, discussion guide builder, and multilingual support.
Growth
per completed interview
Complex B2B audiences, advanced analysis, persona generation, and executive reporting.
Enterprise
annual commitment
Volume discounts, dedicated support, custom integrations, SSO, and advanced security controls.
Security & Compliance
Listen Labs maintains SOC 2 Type II compliance and is GDPR-ready. The platform employs data encryption in transit and at rest, role-based access controls, and a proprietary fraud detection system that reduces invalid research responses from 20% to near zero. Participant data is handled in accordance with global privacy regulations.
Strengths & Top Pros
- ✅ AI-moderated interviews deliver qualitative insights at quantitative scale - 1M+ interviews completed
- ✅ Results in hours, not weeks: 15x faster than traditional qualitative research methods
- ✅ 30M+ global participant panel with built-in fraud detection for high data quality
- ✅ 100+ language support with automatic translation and transcription
- ✅ Backed by $100M from Sequoia Capital, Ribbit Capital, and Conviction
- ✅ Trusted by enterprise leaders: Microsoft, Canva, Perplexity, Robinhood, and Sweetgreen
- ✅ Born from Harvard research - built on methodological integrity with in-house research team
dscout
UserTesting
Askable
SurveyMonkey
Dovetail
Maze