- Developers
- Learn how AI agents can be designed for nuanced human interaction and data gathering.
- Business
- Discover how AI can unlock deeper customer insights than traditional methods, driving product development.
This interview provides a concrete example of AI solving a significant business problem: understanding customer needs at scale.
Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
This podcast episode features Alfred Wahlforss, co-founder of Listen Labs, discussing his company's AI agent that conducts customer interviews at scale. Wahlforss shares insights on why customers are more open with AI than humans, how interview transcripts provide valuable behavioral predictions, and the importance of audience building. He highlights that as AI development becomes easier, understanding customer needs is the critical challenge.
Listen Labs uses AI to talk to lots of customers at once, like a super-fast focus group. People tell the AI more than they would a person because it's non-judgmental. This helps companies understand what people really want and need.
This episode offers a practical look at how AI can uncover deep customer insights, a crucial area for businesses. It's for founders, product managers, and anyone interested in customer intelligence. The discussion on AI's role in understanding user needs connects directly to frontier labs' focus on building more capable and user-aware AI systems, especially as general AI capabilities advance.
- HostSequoia Capital
- GuestAlfred Wahlforssco-founder and CEO, Listen Labs
- Guest: Alfred Wahlforss, co-founder and CEO of Listen Labs
- Show: Training Data
- Length: 40 minutes
- Listen's customer base: Hundreds of Fortune 100s to Startups including Microsoft, Google, NBC Universal, P&G, Anthropic, Cursor, and Cognition.
- Engineering focus: 80% of the company's engineering goes into building the right audience.
Alfred Wahlforss, co-founder and CEO of Listen Labs, is building an AI agent that interviews your customers at a scale no focus group ever could—thousands of voice conversations at once, drawn from an audience of 30 million people. A year after launch, Listen serves hundreds of Fortune 100s to Startups including Microsoft, Google, NBC Universal, P&G, Anthropic, Cursor, and Cognition. Alfred explains the counterintuitive finding underneath it all: people are often more honest with an AI than a human interviewer, opening up to a non-judgmental entity that costs less and never makes them feel rushed. He walks through why interview transcripts—not credit card data or behavioral logs—turn out to be the richest fuel for predicting how customers will behave, how Listen back-tests its simulations to know which questions it can and can't answer, and why 80% of the company's engineering goes into building the right audience. As AGI makes building trivial, Alfred argues the scarce resource becomes knowing what to build. That's the loop Listen wants to own.
- AGI
- Alfred Wahlforss
- Artificial General Intelligence, a hypothetical AI with human-like cognitive abilities.
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Questions people ask
- What is Listen Labs building?
- Listen Labs is building an AI agent that conducts customer interviews at a large scale, processing thousands of voice conversations simultaneously.
- Why are customers more honest with AI?
- Customers are often more honest with AI because it is perceived as non-judgmental, costs less, and does not make them feel rushed.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Sequoia Capital.





