UX Research Platform Comparison
Great Question vs Listen Labs
AI interviews alone won’t run your research program. Great Question powers every step from recruiting to insights.
Why teams choose Great Question
AI interviews plus more – Listen Labs runs AI moderated interviews. Great Question has AI moderated interviews, prototype tests, surveys, and analysis in one platform.
Participant CRM, not just sourcing – Listen Labs helps you reach participants, but doesn’t offer deep panel management. Great Question adds screeners, segments, rules, scheduling, and history.
Insights, not just outputs – Listen Labs gives summaries. Great Question delivers transcripts, themes, reels, and a searchable repository.
Main differences between Great Question & Listen Labs
See how the two products compare
AI interviews can’t replace full research
Listen Labs automates interviews but doesn’t support core UX methods like prototype tests, card sorts, tree tests, or unmoderated studies. Great Question gives teams the full toolkit: AI-moderated interviews, unmoderated tasks, prototype tests, surveys, and structured methods.
A conversation engine isn’t a research workflow
Listen Labs runs interviews, but teams still need other tools for recruiting, screening, scheduling, incentives, and analysis. Great Question combines recruitment, segments, incentives, analysis, and insights in one connected workflow.
One place for all research data
Listen Labs generates summaries for each study. Great Question integrates interviews, tasks, analysis, and highlight reels into a shared repository that product, design, research, and leadership can all access.
comparison
Let’s Compare
See why Great Question is the best alternative to Listen Labs.
Features |  Customized pricing |  Starts at $99 p/m |
|---|---|---|
| Access external participant panel |  | |
| AI Moderated Interviews | | |
| AI powered analysis | | |
| Use your own panel | | |
| SOC 2 / GDPR / HIPAA | | |
| Additional UX methods (card sorts, tree testing & more) | - | |
| Unmoderated testing | - | |
| AI powered research respository | - | |
| Automated incentives | - | |
| In-platform scheduling | - | |
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