Listen Labs’ cover photo
Listen Labs

Listen Labs

Technology, Information and Internet

San Francisco, California 14,961 followers

Listen is an autonomous researcher that talks to thousands of people, revealing exactly what they want and why.

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About us

Listen is an autonomous market researcher that makes research simple and fast. Share your business question, and our AI handles everything - designing the studies, finding the right participants, moderating interviews, and analyzing responses. Whether you're testing products or exploring new markets, Listen is a skilled researcher that works 24/7, delivering insights in hours instead of weeks. Listen is trusted by Google, Microsoft, SKIMS, Nestlé and hundreds of enterprises to unlock customer understanding at scale.

Website
https://listenlabs.ai/
Industry
Technology, Information and Internet
Company size
11-50 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2023

Products

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Market Research Software

Listen is an AI-first customer research platform that delivers insights in hours, not weeks. Our AI interviewer talks to people the way a great researcher would, building rapport, probing deeper, and adapting in real time. It then turns these conversations into clear, actionable outputs: themed reports, highlight reels, and presentation-ready decks. We serve hundreds of enterprises including Microsoft, Google, Sweetgreen, and Perplexity. No more slow qual. Just fast, reliable insights that help teams make confident decisions.

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Employees at Listen Labs

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Updates

  • View organization page for Listen Labs
    Listen Labs

    14,961 followers

    Excited to officially launch our integration with Rally UXR. With Rally handling recruitment and governance, and Listen running AI-moderated interviews at scale, teams can move from participant → interview → analysis in a single workflow.

    View organization page for Rally UXR
    Rally UXR

    9,186 followers

    Hey SF research friends! Want to get together for happy hour next week? 🏓 We just launched our Rally × Listen Labs integration and wanted to bring the community together to celebrate properly! Together, we’re helping teams remove some of the biggest bottlenecks in qual research: 👥 Recruit and manage users in Rally 🙌 Send them seamlessly into AI-moderated interviews in Listen Labs 📊 Keep incentives, governance, and tracking centralized Less operational overhead and more time actually learning from users? It felt worth getting together for: 📅 Wednesday, Feb. 18th ⏰ 6-9 PM PST 📍 SPIN San Francisco If you’re local, come party with us! Register in the comments👇 #researchoperations #userresearch #RallyUXR #researchops

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  • View organization page for Listen Labs
    Listen Labs

    14,961 followers

    We’re excited to share our biggest update yet: Research Agent. Listen’s AI-moderator made it possible to talk to thousands of users. Research Agent handles everything that comes after: segmented analysis, significance testing, and generating stakeholder-ready deliverables (charts, reels, slides, reports), all in a single session. Research Agent is available today. Open any study in Listen and start a conversation on the Analysis page. You listened to your users. Now understand them. Read more: https://lnkd.in/gM2McvBC

    View profile for Alfred Wahlforss
    Alfred Wahlforss

    Introducing Claude Code for research. With AI-moderated interviews, talking to users at scale is no longer the hard part. The challenge is understanding what they mean. Researchers spend the bulk of their time analyzing data and formatting results for stakeholders who each need something different. Turning 100 hours of interviews into one clear recommendation is still painfully slow. So we built Research Agent. Just like how developers use Claude Code, researchers can use Research Agent to: - Identify patterns across thousands of interviews - Pull out outliers worth paying attention to - Add macro context like industry reports Turn insights into actionable decisions And most importantly, generate deliverables you can actually send to leadership. Early users across pharma, finance, and luxury are asking questions like: - “Can you segment power vs regular users and compare buying intent?” - “What are unmet needs of power users? Rank by frequency and pull some clips.” - “Can you put this into our slide template for our go-to-market plan?” And generating slides + reports + charts + reels in one session. Over the next few years, we are going to see an order of magnitude increase in the amount of research done. Then the bottleneck will move from collecting insights to filtering them. That is what Research Agent is for.

  • Listen Labs reposted this

    View profile for Alfred Wahlforss
    Alfred Wahlforss

    We just raised $100,000,000 from Ribbit, Sequoia, Evantic, Conviction, and Pear. But it almost didn’t happen. For nearly two years, Listen Labs did not look like a rocket ship. After our pre-seed, we spent ~18 months in what felt like limbo. Models were super unreliable, customers were unsure and we struggled to hire. Every startup problem you can imagine - we felt it. About 9 months ago, it finally clicked. Since then: • Revenue has grown 15×, crossing 8 figures. • We’ve interviewed over 1 million people • We now work with hundreds of enterprises, including Microsoft, Sweetgreen, and Perplexity So what’s driving this? Traditional research costs $50-100k and takes months. So teams skip it and guess. Then they spend millions - on products nobody wanted, campaigns that don't land, messaging that misses. Listen lets you have hundreds of real customer conversations in hours - so you actually know before you commit. More importantly, the outcomes are speaking for themselves. • Chubbies interviewed >100 kids and discovered why an existing product wasn’t working, redesigned it, and launched a new line that quickly became a top seller. • Teams at Microsoft went from waiting 6–8 weeks for research to getting answers in days directly in customers’ own words. • At Sweetgreen, outlier customer insights led to protein-forward menu items that now shape how they think about new launches. Ribbit led because they were customers first - and somehow our top-performing sales reps, unpaid. We owed them a round. Grateful to the team that kept going when the outcome was unclear. Back to work.

  • View organization page for Listen Labs
    Listen Labs

    14,961 followers

    We’re thrilled to announce our Series B with $100M in total funding, led by Ribbit Capital, with participation from Sequoia Capital, Evantic Capital, Conviction, and Pear VC. Since our launch nine months ago, Listen has interviewed over one million people and served hundreds of enterprises including Microsoft, Sweetgreen, Perplexity, Robinhood, and more. This funding will help us put the voice of the customer behind many more decisions at many more companies. To our friends, colleagues, partners, and customers, thank you. Stay tuned for what’s next!

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  • Listen Labs reposted this

    View profile for Zachary Van Zant
    Zachary Van Zant

    Big update - I've just joined Listen Labs as VP Revenue to build a GTM org that customers actually want to talk to (and even listen to). Every customer has a voice and it deserves to be heard. But for the longest time, companies haven't had the tools to actually listen to them at scale. Listen is changing that. We've built an AI-first research platform that delivers qualitative insights at massive scale - helping teams at places like Google, Microsoft, and Canva understand their customers in hours, rather than weeks/months. Stoked to join Alfred Wahlforss, Florian Juengermann, and the entire Listen team. Thanks everyone for the warm welcome! We are moving fast and building something special. I'll be sharing more soon about why now is the time to join us and the specific roles we're hiring for to scale our GTM engine. Here we go!

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  • View organization page for Listen Labs
    Listen Labs

    14,961 followers

    Did you know that most people have no idea what "Black Friday" means? And that 90% of people now prefer buying gifts online? Our team interviewed 40 shoppers to understand their feelings across Thanksgiving, Black Friday, and Cyber Monday. Great work Jillian Graver! Read the full study below 👇

    View profile for Jillian Graver
    Jillian Graver

    In 2011, I rode with my grandfather for 30 minutes to our “local” Walmart after Thanksgiving dinner, waited for the clock to strike midnight, and queued for over two hours to get the very last iPad in stock as a gift for my grandmother. It was… an experience. Black Friday has evolved a lot since the days of doorbuster deals and cart races for Tickle-Me-Elmos. So, we decided to interview 40 gift-buyers about their Black Friday experiences today (and in a matter of just hours, thanks to Listen Labs). Every participant said that gift-buying makes them feel joy and excitement, yet 70% mentioned also feeling stressed or anxious. And 90% now prefer shopping online, not just for convenience, but to avoid the crowds and chaos (11-year-old me agrees). One more fun learning: Most people have no idea what the phrase “Black Friday” actually means. Do you? Check out the full study linked in the comments below.

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  • Listen Labs reposted this

    View profile for John Whalen, PhD
    John Whalen, PhD

    Hands-on experience is at the core of my AI for Customer Research course. The goal is simple: help students move beyond the AI hype and see where AI tools and techniques fit in their research workflow. Students are running their first AI-moderated interviews. They’re getting to actually see where AI fits into the research workflow, and what it can (and can’t) do. A big thank you to Alfred Wahlforss and the team at Listen Labs for partnering with us to give students this experience! In AI for Customer Research, we dive deep into AI-moderation, and how it can truly transform the speed, scale and reach of your research. Multi-lingual, global, qualitative-quantitative hybrid studies can exist for the first time thanks to AI-moderated interviews. Partnership between researcher and AI isn’t just the future. It’s here, and it’s changing how insights drive innovation.

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Funding

Listen Labs 3 total rounds

Last Round

Series A

US$ 27.0M

Investors

Sequoia Capital + 1 Other investor
See more info on crunchbase