Listen Labs Alternative
Great Question vs Listen Labs
Listen Labs automates interviews with AI. Great Question gives you AI interviews, a comprehensive MCP, human-moderated interviews, prototype tests, surveys, card sorts, tree tests, and the recruitment, scheduling, incentives, and AI repository to run enterprise research programs.
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Why teams choose Great Question
AI interviews are one method. You need all of them. – Listen Labs runs AI moderated interviews. Research teams don't run on one method. Great Question has AI moderated interviews, prototype tests, surveys, MCP, and AI 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.
Summaries expire, insights compound – Great Question builds a searchable AI research repository where every transcript, theme, highlight reel, and insight is connected.
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 AI 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.
When to choose either tool
Choose Great Question if:
You run a research program or AI research workflows. You need multiple methods, your own participant panel, a repository that compounds over time, and governance controls for enterprise compliance. Great Question is built for research teams, ResearchOps, product managers, and designers who do research with real customers and panels at scale.
Choose Listen Labs if:
You need fast, AI-generated consumer feedback at volume: brand tracking, concept testing, or quick directional reads, and you don't need methodological variety or a persistent research repository. Listen Labs is built for consumer insights teams.
MCP
Connect research to your AI tools
Give Claude, ChatGPT, or Cursor direct access to your research repository. One connection to all your customer insights.
Query your entire research library from any MCP-compatible AI tool
Synthesize across studies, transcripts, and highlights in a single prompt
Pull findings into PRDs, design reviews, and Slack threads mid-conversation
PII redacted by default, with role-based permissions applied automatically
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comparison
Compare Listen Labs & Great Question
See why Great Question is the best alternative to Listen Labs.
Features |  We've heard it's pricey |  Custom enterprise pricing |
|---|---|---|
| Access external participant panel |  | |
| AI Moderated Interviews | | |
| AI powered analysis | | |
| Use your own panel of customers | | |
| SOC 2 / GDPR / HIPAA | | |
| Additional UX methods (card sorts, tree testing, surveys, observer rooms and more) | - | |
| Unmoderated testing | - | |
| Panel management & eligibility rules | - | |
| Automated incentives | - | |
| In-platform scheduling | - | |
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case study
Canva
“Great Question is a big part of how we build user centricity and our deep care for our community. It enables our teams to rally together around research.”
Tessa Pollard
Research Operations Manager, Canva
case study
Miro
“Great Question got our attention because it’s built for the new generation of researchers.
They’re doing what other tools have traditionally tried — which is build an end-to-end workflow for UX research — but they’re actually doing it in a way that’s sensible to researchers. You can see by the amount of detailed features that, as a researcher, you have to smile because they really get it.”
They’re doing what other tools have traditionally tried — which is build an end-to-end workflow for UX research — but they’re actually doing it in a way that’s sensible to researchers. You can see by the amount of detailed features that, as a researcher, you have to smile because they really get it.”
Josh Morales
UX Research Manager, Miro
case study
Brex
“Before we brought on Great Question… The number of people comfortable running research grew from single digits to over 100 people…”
Nicolás Carey
VP of Product and Design, Brex
case study
ServiceNow
“We’ve been connected with Great Question for about four years… Seeing that vision come to life has built tremendous trust…”
A’verria Martin
Senior Director of Product Research, Intelligence and Strategy, ServiceNow