Great Question and Subanana 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. Subanana: Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support. 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 Subanana when transcribing and summarizing cantonese-english meetings for hong kong teams 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
Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support.
AI transcription and subtitle generation across 80+ languagesAutomatic speaker identificationMeeting transcription with automated summaries and action items
Great Question is a free tier with paid upgrades (freemium); Subanana 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
AI transcription and subtitle generation across 80+ languages
Standout feature
Searchable research repository connecting transcripts, themes, and insights
Strong handling of mixed Cantonese-and-English (code-switching) audio
Team usage
Participant recruitment from a large panel plus CRM-based custom panels
Meeting transcription with automated summaries and action items
Integrations
Scheduling, screening, eligibility rules, and incentive payments
Real-time voice transcription with live translation
Languages & capture
Moderated, AI-moderated, and unmoderated study methods including prototype testing
Automatic speaker identification
Best-fit workflow
50+ integrations plus an MCP for running research from AI tools
Subtitle embedding and export to .srt, .docx, .csv, and .txt
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.
Subanana
Choose Subanana if you need transcribing and summarizing cantonese-english meetings for hong kong teams — strengths include built for the hong kong market with strong cantonese and code-switching support.
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
Subanana
+ Built for the Hong Kong market with strong Cantonese and code-switching support
+ Covers both subtitling/content workflows and meeting transcription
- Free allowance is limited before requiring a paid plan
FAQ
Is Great Question or Subanana 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 Subanana is strong for transcribing and summarizing cantonese-english meetings for hong kong teams. Both transcribe and summarize meetings.
How do Great Question and Subanana compare on price?
Great Question is a free tier with paid upgrades and Subanana 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 Subanana?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.