Great Question and Reflect are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Great Question: All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected research repository. Reflect: Networked note-taking and second-brain app with AI that transcribes voice notes and extracts action items from meeting notes. They overlap on ai-meeting-assistants, ai-notes, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants, ai-notes workflows, shortlist Great Question when recruiting participants and scheduling user interviews end to end matters most, and Reflect when taking and linking meeting notes within a connected knowledge base matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected research repository.
50+ integrations plus an MCP for running research from AI toolsAI analysis generating summaries, chapters, highlights, and tags from interviewsModerated, AI-moderated, and unmoderated study methods including prototype testing
Networked note-taking and second-brain app with AI that transcribes voice notes and extracts action items from meeting notes.
AI extraction of key takeaways and action items from meeting notesAI voice note transcription and summarizationEnd-to-end encryption with instant cross-device sync
Great Question is a free tier with paid upgrades (freemium); Reflect is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI analysis generating summaries, chapters, highlights, and tags from interviews
Networked notes with backlinks and daily notes
Standout feature
Searchable research repository connecting transcripts, themes, and insights
AI voice note transcription and summarization
Team usage
Participant recruitment from a large panel plus CRM-based custom panels
AI extraction of key takeaways and action items from meeting notes
Integrations
Scheduling, screening, eligibility rules, and incentive payments
Google Calendar and Outlook integration for meetings
Languages & capture
Moderated, AI-moderated, and unmoderated study methods including prototype testing
End-to-end encryption with instant cross-device sync
Best-fit workflow
50+ integrations plus an MCP for running research from AI tools
iOS app with offline access and browser/Kindle capture
Best for
Great Question
Choose Great Question if you need recruiting participants and scheduling user interviews end to end — strengths include handles recruitment, study execution, and analysis in one platform.
Reflect
Choose Reflect if you need taking and linking meeting notes within a connected knowledge base — strengths include combines a second-brain knowledge base with ai meeting summarization.
Pros & cons
Great Question
+ Handles recruitment, study execution, and analysis in one platform
+ AI repository lets teams query across all past research
- All-in-one scope may exceed the needs of small or ad hoc projects
Reflect
+ Combines a second-brain knowledge base with AI meeting summarization
+ Calendar integration ties notes directly to scheduled meetings
- Not a dedicated meeting-bot recorder; relies on captured notes and voice input
FAQ
Is Great Question or Reflect better for AI meeting notes?
It depends on your workflow. Great Question is strong for recruiting participants and scheduling user interviews end to end, while Reflect is strong for taking and linking meeting notes within a connected knowledge base. Both transcribe and summarize meetings.
How do Great Question and Reflect compare on price?
Great Question is a free tier with paid upgrades and Reflect 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 Great Question and Reflect?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.