Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Luster: AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Condens when transcribing and tagging user interview recordings matters most, and Luster when identifying which reps are at risk of underperforming on upcoming deals matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps.
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
Luster is a sales enablement platform that describes its approach as Predictive Enablement, combining AI-powered roleplay practice with analysis of real sales conversations. Reps rehearse high-stakes scenarios such as discovery calls and objection handling against AI buyer personas tuned to different sales stages, personas, and deal sizes, and receive feedback designed to surface where they are likely to struggle before those weaknesses show up in live deals. The platform pairs this practice environment with a live-call analysis capability the company calls EchoIQ, which reviews actual customer calls to detect how well reps apply the skills they have been practicing and where execution gaps remain. For managers and enablement leaders, Luster provides predictive insights into skill readiness, prescriptive guidance for onboarding and hiring, certification workflows, and AI-assisted coaching so that practice can be scaled across a go-to-market team. Luster is aimed at sales reps, frontline managers, and enablement teams who want to connect roleplay performance to real revenue outcomes rather than treating training as a one-off event. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Condens is a free tier with paid upgrades (freemium); Luster is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Condens | Luster |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | AI roleplay environment for rehearsing discovery, objection handling, and other high-stakes scenarios |
| Standout feature | Split-screen interface for simultaneous data review and tagging | Buyer personas configurable by sales stage, persona type, and deal size |
| Team usage | AI-driven pattern identification across datasets | EchoIQ live-call analysis that reviews real customer conversations for skill application |
| Integrations | Searchable centralized repository with cross-project discovery | Predictive insights that flag rep readiness risk and skill gaps |
| Languages & capture | Real-time collaborative analysis and tagging | AI-assisted coaching tools for managers to scale feedback |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | Certification and onboarding workflows for enablement teams |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
Luster
Choose Luster if you need letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls — strengths include connects practice performance with analysis of real live calls rather than roleplay alone.
Condens
Luster
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, while Luster is strong for letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls. Both transcribe and summarize meetings.
Condens is a free tier with paid upgrades and Luster is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
More head-to-head comparisons involving Condens and Luster.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Conveo: AI-led qualitative research platform that runs video, voice, and text interviews and analyzes every signal for insights at speed. This comparison weighs them on pricing, features, and everyday workflow fit.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Convin: AI conversation intelligence platform for contact centers and sales teams that records, transcribes, and scores calls, chats, and emails. The right pick comes down to team size, budget, and the workflows you want to automate.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Convo: Bot-free real-time AI meeting assistant for Mac and Windows that transcribes calls, suggests replies live, and syncs notes to Slack, Notion, and HubSpot. The right pick comes down to team size, budget, and the workflows you want to automate.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. CraftNote: A cross-platform AI meeting assistant that transcribes and summarizes conversations, identifies speakers, and can join calls on major meeting platforms. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Cresta: Enterprise contact-center AI platform combining real-time agent assist, autonomous AI agents, and conversation intelligence. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Cuebo: AI sales coaching platform with a roleplay arena of video-avatar buyers, automated course generation, and call analysis. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Daglo: Korean all-in-one AI notetaker by Action Power that records, transcribes, and summarizes meetings and lectures, with strong Korean recognition and post-recording tools. Below, they line up on price, capture method, and how each fits a real meeting stack.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Daisy: Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server. The right pick comes down to team size, budget, and the workflows you want to automate.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Deepting: Real-time AI transcription and meeting summary app for meetings, interviews, and lectures across mobile and web. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Demodesk: AI sales meeting platform that records, transcribes, coaches reps, and automates note-taking, follow-ups, and CRM updates. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. DepoDash: Cloud court-reporting platform delivering verbatim deposition transcription via AI, stenographers, or voice writers. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. Deposely: AI deposition platform for litigators covering prep, real-time insights, and transcript review and summaries. The right pick comes down to team size, budget, and the workflows you want to automate.