Dscout: Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Dscout when running and transcribing moderated user interviews matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Try them side by side on real calls before deciding — needs vary by team.
Experience research platform for moderated interviews, diary studies, and usability testing with AI transcription, themes, and analysis.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
Dscout is an experience research platform that pairs human participant feedback with AI tools to help teams gather and analyze qualitative insights at scale. It supports a range of research methods, including live and uploaded moderated interviews, usability testing with heat maps and task success metrics, real-time site intercepts, field studies, diary studies with multiple activities, and media-rich surveys. For interviews, Dscout simplifies scheduling across time zones, integrates incentives, supports observers, and can capture both a participant's face and screen, and it also offers an AI Moderator that can autonomously guide participants, seek clarification, and capture feedback. On the analysis side, Dscout provides automated transcription, AI-generated summaries of open-ended and video responses, AI-generated themes presented as smart tags for pattern identification, and surfacing of notable moments that highlight strong opinions or surprising insights. Teams can recruit from Dscout's verified Scout participant pool or bring their own audience. Known historically for mobile and in-context research, Dscout positions itself as an AI-native platform that helps researchers capture high-fidelity feedback and move quickly from raw sessions to organized, analyzable insights. Pricing varies by plan. Check the official website for current pricing.
Best suited for
joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Dscout is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Dscout | joinly |
|---|---|---|
| Core capability | Moderated live and uploaded video interviews with observer support | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | AI Moderator that dynamically guides participants and captures feedback | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Automated transcription of interviews and responses | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | AI-generated summaries of open-ended and video responses | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | AI-generated themes as smart tags and surfaced notable moments | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Diary studies, usability testing, intercepts, and media-rich surveys | Docker-based self-hosting with optional CUDA GPU image |
Dscout
Choose Dscout if you need running and transcribing moderated user interviews — strengths include supports many research methods beyond interviews in one platform.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Dscout
joinly
It depends on your workflow. Dscout is strong for running and transcribing moderated user interviews, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Dscout is a free tier with paid upgrades and joinly is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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