Koji and User Evaluation are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. User Evaluation: AI research workspace that transcribes interviews in dozens of languages and turns them into cited insights, clips, charts, and reports. 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 Koji when running exploratory discovery interviews without scheduling live calls matters most, and User Evaluation when transcribing and analyzing multilingual research interviews matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
AI interviewer that runs asynchronous voice and text discovery conversations at scaleAI research agent that drafts research goals and interview guides from a briefAutomatic per-interview analysis with key moments and sentiment
AI research workspace that transcribes interviews in dozens of languages and turns them into cited insights, clips, charts, and reports.
Agentic AI chat that cites evidence and identifies pain points and themesAutomatic tagging of mentions and visual summariesExportable outputs: MP4 clips, charts, PDF/DOCX reports, and PPTX decks
Koji is a free tier with paid upgrades (freemium); User Evaluation is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI interviewer that runs asynchronous voice and text discovery conversations at scale
Transcription in dozens of languages with speaker labels and custom vocabulary
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Multimodal input support for audio, video, text, PDF, and CSV
Team usage
Automatic per-interview analysis with key moments and sentiment
Agentic AI chat that cites evidence and identifies pain points and themes
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Automatic tagging of mentions and visual summaries
Languages & capture
Insights traceable back to specific participant quotes
Exportable outputs: MP4 clips, charts, PDF/DOCX reports, and PPTX decks
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Interview scheduling, recording, and live note-taking
Best for
Koji
Choose Koji if you need running exploratory discovery interviews without scheduling live calls — strengths include removes scheduling overhead by running many interviews in parallel and asynchronously.
User Evaluation
Choose User Evaluation if you need transcribing and analyzing multilingual research interviews — strengths include evidence-cited ai analysis keeps insights traceable to sources.
Pros & cons
Koji
+ Removes scheduling overhead by running many interviews in parallel and asynchronously
- AI-moderated async format is less suited to deep rapport-driven live interviews
User Evaluation
+ Evidence-cited AI analysis keeps insights traceable to sources
+ Broad multilingual transcription supports global research
- Wide feature set can have a learning curve for new users
FAQ
Is Koji or User Evaluation better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while User Evaluation is strong for transcribing and analyzing multilingual research interviews. Both transcribe and summarize meetings.
How do Koji and User Evaluation compare on price?
Koji is a free tier with paid upgrades and User Evaluation 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 Koji and User Evaluation?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.