HeyMarvin and Listen Labs are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. HeyMarvin: AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository. Listen Labs: Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist HeyMarvin when ux researchers transcribing and tagging user-interview calls matters most, and Listen Labs when replacing or supplementing surveys with scalable ai-led customer interviews matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository.
AI thematic analysis that clusters feedback into themes and patternsAsk AI querying across research data with citations to source clipsRecords and automatically transcribes user-research interview calls
Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports.
AI interviewer running personalized video, audio, and text interviewsAutomated key themes, takeaways, and persona generationExecutive-ready reports with highlight reels and slide decks
HeyMarvin is a free tier with paid upgrades (freemium); Listen Labs is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Records and automatically transcribes user-research interview calls
AI interviewer running personalized video, audio, and text interviews
Standout feature
Time-stamped notes and collaborative live note-taking during sessions
Global participant recruitment with bring-your-own-audience option
Team usage
AI thematic analysis that clusters feedback into themes and patterns
Stimulus testing with videos, images, and Figma prototypes
Integrations
Ask AI querying across research data with citations to source clips
Automated key themes, takeaways, and persona generation
Languages & capture
Searchable centralized research repository combining many data sources
Executive-ready reports with highlight reels and slide decks
Best-fit workflow
Video clips, highlight reels, and insight reports for sharing findings
Support for 100+ languages with translation and transcription
Best for
HeyMarvin
Choose HeyMarvin if you need ux researchers transcribing and tagging user-interview calls — strengths include tailored to user-research interviews rather than generic meeting notes.
Listen Labs
Choose Listen Labs if you need replacing or supplementing surveys with scalable ai-led customer interviews — strengths include end-to-end automation from recruitment to executive-ready deliverables.
Pros & cons
HeyMarvin
+ Tailored to user-research interviews rather than generic meeting notes
+ Combines capture, AI analysis, and a repository in one workflow
- Oriented to research teams, so less relevant for everyday internal meetings
Listen Labs
+ End-to-end automation from recruitment to executive-ready deliverables
+ Large global participant network reduces sourcing effort
- Enterprise positioning may exceed the needs and budgets of small teams
FAQ
Is HeyMarvin or Listen Labs better for AI meeting notes?
It depends on your workflow. HeyMarvin is strong for ux researchers transcribing and tagging user-interview calls, while Listen Labs is strong for replacing or supplementing surveys with scalable ai-led customer interviews. Both transcribe and summarize meetings.
How do HeyMarvin and Listen Labs compare on price?
HeyMarvin is a free tier with paid upgrades and Listen Labs is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both HeyMarvin and Listen Labs?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.