Tool: Metaview What it does: AI-powered interview recording, transcription, and note-taking Pricing: Starts at $30/user/month, Team and Enterprise plans available Best for: Hiring teams that want accurate interview documentation without manual note-taking

Taking notes during interviews is terrible. You're either typing furiously and missing non-verbal cues, or you're focused on the conversation and forgetting half of what was said. Afterward, you're trying to remember details from three interviews that blur together, and your notes say unhelpful things like "good communication skills" and "seemed smart."

Metaview solves this by recording interviews, transcribing them in real-time, and automatically generating structured notes and summaries. Then it syncs everything to your ATS so the entire hiring team has access to accurate, detailed interview documentation.

It's not the only AI interview tool, but user reviews consistently highlight two things: the quality of the AI-generated summaries is legitimately good, and the ATS integration actually works reliably. That's rarer than you'd think.

What Metaview Actually Does

At its core, Metaview handles three functions: recording, transcribing, and summarizing interviews.

Recording: Metaview integrates with Zoom, Microsoft Teams, and Google Meet to automatically join and record interviews. You schedule the interview in your ATS or calendar, Metaview detects it, and the recording starts automatically. No manual intervention required.

The recording includes both audio and video (if participants have cameras on), so you can review not just what was said but how it was said—tone, hesitation, enthusiasm, etc.

Transcription: Metaview transcribes interviews in real-time with speaker identification. The transcript isn't just a wall of text—it clearly shows who said what, timestamps key moments, and handles multiple speakers accurately.

User reviews report transcription accuracy is high, even with accents, technical jargon, and crosstalk. It's not perfect (no transcription tool is), but it's good enough that you're not spending time correcting basic errors.

Summarization and note-taking: This is where Metaview differentiates itself. After the interview, Metaview's AI analyzes the transcript and generates structured notes organized around your interview format and evaluation criteria.

If you're doing a behavioral interview, the notes highlight specific examples the candidate provided. If you're doing a technical interview, the notes summarize their problem-solving approach and accuracy. If you're doing a culture fit conversation, the notes capture relevant values and working style preferences.

The notes aren't just "here's what was said"—they're "here's what matters for your hiring decision."

The Features That Actually Matter

ATS integration that works: Metaview integrates with Greenhouse, Lever, Ashby, and other major ATS platforms. When an interview ends, notes and recordings sync automatically to the candidate's profile in your ATS. No manual exporting or copy-pasting.

User reviews emphasize this is a bigger deal than it sounds—lots of tools claim ATS integration, but many require manual steps or break frequently. Metaview's integrations are reliable enough that teams trust them and stop manually entering notes.

Customizable note templates: You can configure Metaview to generate notes in formats that match your evaluation criteria and interview stages. Phone screen notes focus on basic qualifications and interest level. Technical interview notes highlight problem-solving approach and skill depth. Culture fit interviews emphasize values alignment and team dynamics.

The AI adapts its summarization based on what you're trying to evaluate in each interview stage.

Highlight reels and clip sharing: Metaview lets you create clips of specific moments in interviews and share them with hiring managers or team members. Instead of saying "the candidate had a great answer about conflict resolution," you can send a 90-second clip of their actual answer.

This is especially useful for panel debriefs and calibration—everyone can review the exact same moments rather than relying on individual recall and interpretation.

Interview coaching and calibration: Metaview analyzes interviewer behavior—talk time, question quality, consistency across candidates—and provides coaching feedback. If you're dominating the conversation and giving candidates 30% of the airtime, Metaview flags it. If you're asking leading questions or inconsistent questions across candidates, Metaview identifies it.

This is valuable for improving interview quality and ensuring consistency across your hiring team.

Search and analysis across interviews: You can search transcripts across all interviews to find how candidates answered specific questions, compare responses, or identify patterns. If you're trying to calibrate what "good" looks like for a particular role, reviewing how your best hires answered key questions is incredibly useful.

How It Works in Practice

User reviews and product documentation suggest the workflow is straightforward:

Setup: Integrate Metaview with your ATS and calendar systems. Configure note templates for each interview stage. Train your hiring team on how it works.

Daily use: Schedule interviews as normal in your ATS or calendar. Metaview automatically detects them and joins the calls to record. Interviewers can focus on the conversation without taking notes. After the interview, Metaview generates notes and syncs them to the ATS within minutes.

Review and debrief: Hiring teams review interview notes, watch clip highlights, and make decisions based on comprehensive documentation rather than vague recollections.

The key advantage user reviews highlight: you can actually be present in interviews instead of frantically typing notes. Eye contact, reading body language, building rapport—these all improve when you're not staring at your keyboard.

The Challenges and Concerns

Metaview isn't perfect, and there are legitimate considerations:

Candidate consent and comfort: Some candidates are uncomfortable being recorded. While you can (and legally must in many jurisdictions) inform candidates that interviews are recorded, some will be less open or authentic knowing they're being recorded. You need clear policies and candidate communication about recording.

Regional recording laws: Some states and countries require two-party consent for recording. You need to verify local laws and ensure compliance before recording interviews. Metaview provides notification features, but legal compliance is your responsibility.

AI summary accuracy: While user reviews report that Metaview's summaries are generally accurate, AI can miss nuance, misinterpret tone, or emphasize the wrong details. Interviewers should still review transcripts and notes rather than blindly trusting AI summaries.

Data security and privacy: Interview recordings contain sensitive candidate information. You need to verify Metaview's data security practices, storage locations, retention policies, and compliance with privacy regulations. For regulated industries or sensitive roles, this requires careful vetting.

Cost at scale: At $30/user/month minimum, costs add up quickly for large hiring teams. A 20-person recruiting team is $600/month or $7,200/year. Calculate ROI carefully based on time savings and improved hiring quality.

Interview formality increases: User reviews note that recorded interviews feel more formal and structured, which changes the dynamic. Some interviewers prefer informal, conversational interviews that feel less like depositions. Recording changes the tone whether you want it to or not.

Who This Is For

Metaview makes the most sense for:

Teams with high interview volume: If you're conducting dozens of interviews per week, the time savings on note-taking is substantial. The ROI is clear when you're recovering 10-20 hours per week across your team.

Companies prioritizing interview quality: If you're serious about calibration, consistency, and interviewer training, Metaview's coaching and analysis features provide valuable data. You can identify which interviewers are strong, which need coaching, and where your process has inconsistencies.

Technical and behavioral interviewing: Metaview works well for interviews with clear evaluation criteria and structured formats. It's less valuable for unstructured "get to know you" conversations.

Remote-first teams: If all your interviews are on Zoom or Teams anyway, adding Metaview doesn't change candidate experience much. The recording bot is already part of your normal process.

Teams with poor documentation habits: If your current interview notes consist of "seems good" and "liked them," Metaview forces better documentation by default. The AI generates detailed notes even when humans wouldn't bother.

Alternatives to Consider

Metaview isn't the only AI interview tool available:

BrightHire: Similar feature set to Metaview—recording, transcription, AI notes, ATS integration. User reviews suggest comparable quality. Choose based on ATS compatibility and pricing.

Aspect: Focused specifically on technical interviews with code analysis capabilities. Better for engineering hiring, less comprehensive for other roles.

Fireflies.ai: General-purpose meeting transcription tool that can be used for interviews. Cheaper than Metaview but less specialized for recruiting use cases and weaker ATS integration.

HireVue: Full interview platform with recording, AI assessment, and structured evaluation. More comprehensive but also more expensive and complex to implement.

Manual note-taking: Free, requires no tools, and works everywhere. Time-consuming, inconsistent, and low-quality documentation. Still what most teams do by default.

Metaview sits in a sweet spot: specialized for recruiting, strong ATS integration, sophisticated AI summaries, and reasonable pricing for mid-to-large teams.

The Bottom Line

Metaview eliminates the "taking notes vs. being present" tradeoff in interviews by automating documentation entirely. Interviewers can focus on conversation, evaluation, and rapport-building while AI handles recording, transcription, and note generation.

User reviews consistently report that Metaview delivers on its core promise: accurate, useful interview notes that integrate seamlessly with ATS systems. The time savings are real, the note quality is better than manual notes, and the calibration and coaching features provide unexpected value.

The challenges are real too—candidate comfort with recording, legal compliance with recording laws, data security considerations, and cost at scale. These aren't dealbreakers, but they require thoughtful implementation and clear policies.

For teams conducting high volumes of structured interviews, particularly in remote environments, Metaview is one of the best AI recruiting tools available right now. It's part of the broader trend of AI handling recruiting operations rather than just assisting with them, and it executes that vision well.

If you're still relying on manual note-taking in 2025, you're wasting time and producing low-quality documentation. Metaview (or a similar tool) should be part of your recruiting stack. The ROI is clear, the technology works, and your interview quality will improve.

Your candidates might find the recording bot slightly awkward at first, but they'll get over it. Your interviewers will love not having to type furiously while trying to evaluate someone. And your hiring managers will appreciate actually having useful notes to review instead of "seemed good, recommend advancing."

That's a worthwhile tradeoff.