What is Listen Labs?
Listen Labs is a customer-research platform. Its AI moderator conducts interviews with real participants and asks follow-up questions based on their answers. The company describes a workflow from study design and recruitment to findings linked to individual interviews. It offers concept, message and usability research; our interest here is the interview workflow, not a claim that software can decide what to build.
The We Are So Done take
We wanted to talk to more customers. Sensible. We wanted someone to arrange it, ask the follow-up questions and put the answers somewhere readable. Also sensible. We have now delegated most of the conversation and promoted ourselves to having opinions about the findings.
We would absolutely like this button. Especially the part where a customer says something inconvenient and the software asks them to elaborate. Our job is to resist editing that bit out of the future.
Who answers the questions?
This guide covers interviews with real participants, moderated by AI. Listen Labs says you can recruit through its participant network or use your own contacts. Choosing relevant people remains part of the research: a room full of enthusiastic friends can still produce beautifully organised wishful thinking.
How do you get access?
The AI Moderator page currently offers Try for Free and Book a Demo. Check the actual trial scope, participant recruitment charges and plan terms before committing to a study. We have not completed a trial or verified the total cost of a research project.
A useful first task
Give one product idea a difficult afternoon.
Choose one concept and one uncertainty: do relevant customers understand what it does, and does it address a problem they already have? Ask about the last time they faced that problem, then show the concept. Ask what is confusing, what they would use instead and what would stop them trying it. A suggested study, not one we have run.
How to start
- Write down the decision this study should inform. Define who has relevant experience before choosing participants.
- Use the product’s trial or demo route. Confirm access, recruitment arrangements and cost, then create a study or upload an interview guide.
- Review the questions and follow-up instructions. Ask about actual behaviour before inviting opinions about your proposed solution.
- Read original answers behind the themes. Look for disagreement and missing perspectives, then decide what to test with real users next.
Where it falls short
A fast interview process cannot rescue a leading question or an unsuitable sample. An appealing summary is not proof of demand, willingness to pay or a successful product. We have not independently tested moderation quality, recruitment quality or the accuracy of the generated analysis.
What remains your job
Choose the research question and participants, check whether summaries reflect what people said, and make the product decision. Keep inconvenient answers in the evidence.