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Note Taking

Metaview

AI recruiting platform for sourcing, engagement, and hiring.

Category

Note Taking

Rating

4.8/5 (131 Reviews)

Pricing

from $60/user/mo

Best for

In-house TA teams running high interview volumes weekly where post-interview admin eats recruiter capacity

HQ

San Francisco, United States

Available in

Global

Capabilities

API
MCP
GDPR compliant
AI-first

Tags

GDPR-compliant

Best for

  • In-house TA teams running high interview volumes weekly where post-interview admin eats recruiter capacity
  • Multi-site staffing agencies with distributed interviewer pools needing consistent scorecard formats across desks
  • Scale-up tech companies replacing manual note transcription to reclaim significant recruiter hours per week
  • TA leaders at companies using Greenhouse, Lever, or Ashby who need interview data written directly into candidate records

Top use cases

  • Run video interviews, receive auto-synced scorecards in minutes
  • Compare finalist interviews using structured AI summaries side-by-side
  • Send auto-generated scorecards capturing hiring manager debrief comments
Overview

What is Metaview?

Metaview captures, transcribes, and structures interviews for 4,000+ organizations including Automattic, Quora, and Deliveroo. After each call, AI generates the scorecard, highlights, and structured notes and writes them back into Greenhouse, Lever, or Ashby without manual logging. Recruiters running 10+ interviews per week report saving 10-20 minutes per interview. The tool sits at 4.8/5 on G2 with summary accuracy in the 80-90% range. Honest tradeoffs: transcription errors creep in on heavy accents or technical jargon, and bot reliability drops on multi-hour interviews. Best fit for high-volume hiring teams standardizing interview evaluation.

Features

What are Metaview's key features?

AI interview notetaker with automatic transcription across video and phone calls

Candidate sourcing with AI agents matching candidates to intake criteria 24/7

Automated scorecard generation with evidence sharing and structured summaries

Native integrations with ATS, CRM, scheduling, and video conferencing platforms

Real-time market intelligence on compensation, skills, and hiring trends

Use Cases

How do staffing agencies use Metaview?

  • Run video interviews, receive auto-synced scorecards in minutes
  • Compare finalist interviews using structured AI summaries side-by-side
  • Send auto-generated scorecards capturing hiring manager debrief comments
Fit

Who is Metaview best for?

  • In-house TA teams running high interview volumes weekly where post-interview admin eats recruiter capacity
  • Multi-site staffing agencies with distributed interviewer pools needing consistent scorecard formats across desks
  • Scale-up tech companies replacing manual note transcription to reclaim significant recruiter hours per week
  • TA leaders at companies using Greenhouse, Lever, or Ashby who need interview data written directly into candidate records
Pros & Cons

What are Metaview's pros and cons?

Pros

  • Users report saving 53 hours per month across recruiting teams with 10+ hours saved per recruiter per week, directly improving hiring velocity
  • 92 percent of users report better hiring decisions through enhanced depth and clarity provided by AI-analyzed interview content
  • Reduces time spent chasing busy teams for feedback by auto-generating scorecards, enabling faster next steps with candidates

Cons

  • Requires integration with existing ATS and CRM systems to achieve full workflow benefits, adding implementation complexity
  • AI-generated notes may miss context-specific nuances important to some hiring organizations despite platform claims of catching details
Reviews

What are people saying about Metaview?

Reviewers consistently rate Metaview 4.8/5 on G2, with praise for AI-generated interview summary quality (80-90% accurate, requiring only minor edits) and reliable ATS integrations with Greenhouse, Lever, and Ashby. Recruiters conducting 10+ interviews per week report saving 10-20 minutes per interview on note-taking. Main criticisms: pricing is not published publicly (contact-sales model), occasional transcription errors on heavy accents or technical jargon, and bot reliability drops on interviews that run multiple hours.

Source: G2 (131 reviews) · Updated April 23, 2026

Alternatives

How does Metaview compare to alternatives?

FeatureMetaviewGreenhouseLeverAshby
CategoryNote TakingATS and CRMATS and CRMATS and CRM
PricingFreeEnterpriseEnterprisePaid
AI-first
API
MCP
GDPR
Best forIn-house TA teams running high interview volumes weekly where post-interview admin eats recruiter capacityIn-house TA teams at enterprise and growth-stage companies running concurrent reqs where structured interview consistency matters across departmentsMid-market in-house TA teams running both active hiring and passive nurture where scheduling admin consumes significant recruiter hoursIn-house TA teams at growth-stage companies consolidating ATS, CRM, scheduler, and analytics into one platform instead of managing multiple vendor integrations

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FAQ

Frequently asked questions about Metaview

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