Listen Labs
Overview
Listen Labs is an AI-powered customer interview platform designed to automate and scale user research. It helps product, marketing, and UX teams gather qualitative insights from customers at scale, using automation to streamline the interview process. The platform aims to reduce the manual effort involved in conducting interviews, making it easier to collect and analyze customer feedback for informed decision-making.
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Key Features
- Automated interview scheduling
- AI-assisted question suggestions
- Automated transcription and analysis
- Centralized insight repository
- Collaboration tools for team sharing
Pros
- Saves time by automating interview logistics
- Scales user research efforts
- Provides structured insights from qualitative data
- User-friendly interface
Cons
- Pricing may be a barrier for small teams
- AI analysis may require human validation
- Limited to customer interview use cases
Who Is This Tool Best For?
Product teams, UX researchers, and marketers who need to conduct customer interviews at scale and derive actionable insights efficiently.
Listen Labs: the questions we hear most
What is Listen Labs?
A research platform that runs customer interviews with an AI moderator and analyses the responses, so a study runs without a researcher on every call.
Is Listen Labs right for you?
Product, UX and marketing teams with more questions than interview hours, where the bottleneck is running sessions rather than analysing them.
Is Listen Labs worth paying for?
No. It is a commercial platform priced by agreement, typically by study or volume, so there is no published rate to compare against.
Does an AI interviewer get the same answers?
It gets more of them. It will not chase a thread the way an experienced researcher does, or notice a participant avoiding the real question.
Use cases
Running more sessions
Volume is the advantage: dozens of conversations instead of five, which changes what you can conclude.
Standardising a study
Identical questions across every session removes interviewer variance, which is useful when comparing segments.
Analysing responses at once
Coding and summarising a large set of transcripts is the part teams run out of time for.
Pricing
Listen Labs is paid software, listed at 4.5 here. A commercial platform priced by agreement, usually by study or volume rather than seats, so cost appears only in a quote. The comparison is against researcher hours per session. Details are on the vendor site. Only the Listen Labs site can confirm what you would pay.
Alternatives
- A scheduling tool plus a human researcher — Fewer sessions with deeper follow-ups, which suits exploratory work.
- A survey — Cheap at any scale, and it cannot ask why.
- A transcription tool with analysis — You run the interviews and it handles the reading, which is the cheapest option if you have the time.
Our AI tools directory gives each of them a full write-up.
Before you commit to a plan
Disclose that it is an AI interviewer
Participants should know what they are talking to before the session starts. It is an ethical requirement and it protects the study’s standing.
Read the transcripts, not only the summary
A summary tells you what the analysis thought mattered. The quotes are where the surprise usually is.