Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Condens when transcribing and tagging user interview recordings matters most, and Koji when building personas and validating early product concepts at scale matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
Condens is a user research platform that helps research teams store, analyze, share, and scale customer data in one collaborative hub. It supports importing recordings, notes, and user feedback, and provides automated multilingual transcription with AI-powered speaker recognition and automated captions. For analysis, Condens offers a split-screen interface that lets researchers review raw data and tag it simultaneously, along with AI-driven pattern identification across datasets and quick generation of evidence-backed findings. All research lives in a searchable, centralized repository with cross-project insight discovery, filtering, and role-based access control for managing confidential data. Condens emphasizes real-time collaboration, allowing multiple team members to build, edit, and tag data together, and integrates with tools such as Slack, Teams, Figma, and Miro, plus whiteboard functionality for interactive sessions. Additional AI capabilities include automated bookmarking, summarization, and pattern detection across multiple studies. Positioned as a lean, practical tool for researchers who want to move quickly, Condens aims to streamline the path from interview transcripts to shareable insights without the overhead of heavier enterprise systems. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Koji is an AI-native customer research platform built around an AI interviewer that conducts natural, in-depth conversations with research participants at scale, removing the need to schedule and moderate live discovery calls one at a time. Teams describe what they want to learn, and an AI research agent helps define goals and generate an interview guide. The AI then runs the interviews asynchronously in either a text chat or spoken voice format, asking adaptive follow-up questions and probing for depth as a human moderator would. Each completed conversation is analyzed automatically for key moments and sentiment, and findings are synthesized across all interviews into study-wide reports surfacing themes, patterns, and recommendations, with every insight traceable back to the participant quote that supports it rather than presented as a black-box summary. Koji is used for exploratory work such as discovery, persona development, and market strategy, as well as concept and messaging testing. The product is operated from Amsterdam with EU data residency and GDPR compliance, offers a freemium entry point, and integrates with tools including Claude, ChatGPT, Cursor, and Notion via an MCP server. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Condens is a free tier with paid upgrades (freemium); Koji is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Condens | Koji |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | Insights traceable back to specific participant quotes |
| Standout feature | Split-screen interface for simultaneous data review and tagging | AI interviewer that runs asynchronous voice and text discovery conversations at scale |
| Team usage | AI-driven pattern identification across datasets | AI research agent that drafts research goals and interview guides from a brief |
| Integrations | Searchable centralized repository with cross-project discovery | Automatic per-interview analysis with key moments and sentiment |
| Languages & capture | Real-time collaborative analysis and tagging | Cross-interview synthesis into study-wide themes, patterns, and recommendations |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | MCP integrations with Claude, ChatGPT, Cursor, and Notion |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
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.
Condens
Koji
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, while Koji is strong for running exploratory discovery interviews without scheduling live calls. Both transcribe and summarize meetings.
Condens is a free tier with paid upgrades and Koji is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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