Great Question and Shadow 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. Shadow: A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant. 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 Great Question when recruiting participants and scheduling user interviews end to end matters most, and Shadow when capturing notes and summaries across multiple conferencing platforms without a bot joining 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
A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant.
Bot-free capture that records system audio without joining the meeting as a participantCaptures on-screen content in addition to spoken audioCustomizable prompts/Skills to generate notes, summaries, and emails
Great Question is a free tier with paid upgrades (freemium); Shadow 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
Bot-free capture that records system audio without joining the meeting as a participant
Standout feature
Searchable research repository connecting transcripts, themes, and insights
On-device (local) transcription on macOS
Team usage
Participant recruitment from a large panel plus CRM-based custom panels
Speaker identification during transcription
Integrations
Scheduling, screening, eligibility rules, and incentive payments
Captures on-screen content in addition to spoken audio
Languages & capture
Moderated, AI-moderated, and unmoderated study methods including prototype testing
Customizable prompts/Skills to generate notes, summaries, and emails
Best-fit workflow
50+ integrations plus an MCP for running research from AI tools
Webhook integration to connect outputs to other tools
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.
Shadow
Choose Shadow if you need capturing notes and summaries across multiple conferencing platforms without a bot joining — strengths include does not add a visible bot to meetings.
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
Shadow
+ Does not add a visible bot to meetings
+ Local transcription keeps core audio processing on the device
- Available for macOS only
FAQ
Is Great Question or Shadow 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 Shadow is strong for capturing notes and summaries across multiple conferencing platforms without a bot joining. Both transcribe and summarize meetings.
How do Great Question and Shadow compare on price?
Great Question is a free tier with paid upgrades and Shadow 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 Shadow?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.