Category
Note Taking
Rating
4.8/5 (131 Reviews)
Availability
HQ
US and UK
Pricing
From $100/user/mo
Free tier
Yes
Best for
Capabilities
What is Metaview?
Metaview is an AI interview intelligence platform built for recruiters and hiring managers: the recruiter takes the call, Metaview joins, transcribes, and maps the candidate's answers against the role's rubric, then writes a structured candidate report into your ATS the moment the call ends. It's expanded beyond note-taking into a broader interview intelligence layer that includes AI sourcing tools for finding off-list candidates, making it more than a transcriber. Your team operates it directly on every interview call; Effi Flo's role is connecting the scorecard write-back into your specific ATS configuration so reports land in the right place automatically.
What are Metaview's key features?
Stop choosing between listening and typing: Metaview joins your interview calls and produces structured notes automatically - so your recruiters and hiring managers stay present in the conversation instead of splitting attention between the candidate and a notepad.
Notes that match your actual scorecard, not a generic transcript: Structured summaries are tailored to your evaluation criteria - question-by-question breakdowns, key themes, candidate motivations - so a debrief works from real evidence instead of someone's memory of the call.
Source candidates from the intake call itself: An AI sourcing agent builds a shortlist directly from a hiring manager intake conversation or job description - removing the manual Boolean search your sourcers rebuild from scratch on every new requisition.
Screen inbound applications around the clock: AI agents review applications against your criteria continuously, surfacing high-fit candidates without a recruiter manually triaging every resume that lands in the inbox.
Connects directly to the ATS your team already runs: Effi Flo wires Metaview into Greenhouse, Lever, Workday, Ashby, or your platform of choice so structured notes and scorecard data write back automatically instead of living in a separate tool.
How do recruiting teams use Metaview?
- A boutique agency's BD team uses Metaview to transcribe and summarize client intake calls, so briefing notes are structured and searchable rather than handwritten and filed away where no one looks at them again.
- A multi-desk agency uses Metaview's AI sourcing agent alongside its note-taking layer to both capture candidate conversation context and surface new candidate profiles matching a role - keeping sourcing and relationship intelligence in the same system.
- An in-house TA team uses Metaview to auto-generate structured interview summaries that write back to their ATS candidate record, giving hiring managers a consistent debrief note format rather than a blank page each recruiter fills differently.
Who is Metaview best for?
- In-house and agency teams where interview signal - notes, scorecards, structured data from the conversation itself - is scattered across tabs instead of feeding back into hiring decisions
- Organizations that want every interview captured as structured data automatically so the next round of screening gets sharper from what was learned in the last one
- A fit when operational fragmentation across sourcing, screening, and decision-making is the actual problem, not any single broken tool
What are Metaview's pros and cons?
Pros
- Handles full recruiting workflow in one platform: sourcing, screening, note-taking, and reporting reduce context-switching and manual work.
- Sourcing agent works 24/7 with infinite concurrent searches, so you are continuously finding candidates even outside business hours.
- Interview data is automatically captured and structured, eliminating the need for manual note transcription and follow-up chasing.
- MCP integration with Claude lets you query and analyze interview data using natural language without manual exports or copy-pasting.
- Flexible pricing from free tier (100 sourced profiles) to enterprise, letting small teams and agencies start without commitment.
Cons
- Requires setup and training to define sourcing criteria, application review rules, and hiring rubrics so agents behave correctly for your company.
- Relies on quality of your input data and hiring rubric; if your criteria are vague or your rubric is incomplete, agent recommendations may miss nuance.
- Notetaker requires candidates or interviewers to accept an AI system joining calls, which may create friction in some candidate or interviewer workflows.
- MCP integration with Claude requires separate Claude Project setup and some technical configuration, adding a step for teams not already using Claude.
What are people saying about Metaview?
Metaview holds 4.8/5 across 131 reviews.
Consolidated from 131 reviews across G2 · Updated April 23, 2026
How does Metaview compare to alternatives?
| Feature | Metaview | Fathom | Fireflies.ai | Otter.ai | tl;dv |
|---|---|---|---|---|---|
| Category | Note Taking | Note Taking | Note Taking | Note Taking | Note Taking |
| AI-first | |||||
| API | |||||
| MCP | |||||
| GDPR | |||||
| Best for | Agency, In-House | Agency, In-House | Agency, In-House | Agency, In-House | Agency, In-House |
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Frequently asked questions about Metaview
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