UX Research Platform Comparison
Great Question vs Outset
Outset focuses on automated AI interviews. Great Question gives teams a full research platform with interviews, testing, recruitment, incentives, and insight management in one place.
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Why teams choose Great Question
AI interviews plus more – Outset runs AI moderated interviews. Great Question has AI moderated interviews, prototype tests, surveys, and analysis in one platform.
Participant CRM, not just sourcing – Outset helps teams collect responses. Great Question includes participant profiles, segments, eligibility rules, scheduling, incentives, and participation history so you can run ongoing research.
Insights, stored and reusable – Outset analyses interviews within the scope of each study.Great Question connects insights across studies and methods through a central research repository.
Main differences between Great Question & Outset
See how the two products compare
One-off studies vs a living repository
Teams choose Great Question when research needs to live beyond a single study. It acts as a shared workspace where interviews, tests, participants, and insights accumulate over time instead of resetting with every project.
Support how research teams already work
Great Question fits into existing research practices rather than replacing them. Teams can run live interviews, unmoderated studies, and structured UX methods alongside AI-moderated interviews without changing their operating model.
Research needs to scale across teams, not just projects
When multiple product teams need to run research in parallel, Great Question provides consistency around participants, incentives, analysis, and insight sharing—without central teams becoming a bottleneck.
comparison
Let’s Compare
See why Great Question is the best alternative to Outset.
Features |  Customized pricing |  Starts at $99 p/m |
|---|---|---|
| Access external participant panel |  | |
| AI Moderated Interviews | | |
| Study by study analysis | | |
| Partcipant management | | |
| User your own panel | | |
| Additional UX methods (card sorts, tree testing & more) | - | |
| Unmoderated testing | - | |
| AI powered research repository for all studies | - | |
| Automated incentives | - | |
| In-platform scheduling | - | |
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