This month's set of upgrades helps you go from "we think this candidate is great" to "we know for sure," faster.

Here's what shipped in Metaview in January.

Smarter prompts = sharper insights

Editing AI output by hand is the slowest way to fix it. You can now update and improve your prompts directly inside Custom Templates and AI Reports.

Tell the AI what you want changed. Click Improve Prompt. Your output regenerates against the new instruction, ready to use the next time the template runs.

The Improve Prompt control inside the Metaview Custom Templates editor, with a candidate-summary prompt being rewritten by the AI.

That gets you clearer summaries of what "good" looks like, cleaner and more structured reports, and less manual editing per cycle.

Group Reports by AI-generated insights

Reports already roll interview signal into a single view. Now you can group rows by AI-generated columns. Things like:

  • Location (or remote/hybrid) preference
  • Experience level
  • Hiring manager sentiment

Supported types include numbers, currency, yes/no, and short text. (Long text, lists, and dates are on their way.)

The Metaview Reports surface showing candidates grouped by an AI-generated remote-preference column, with rows expanded under each group.

You spot patterns across interviews simply and quickly. No spreadsheets required.

Reports time-savings compound for the teams running the highest interview volumes. Madison Farris, Global TA Specialist at Airalo, frames what changes when the same surface carries 1,900+ calls:

We've completed over 1,900 calls using this platform, saving 77 full workdays. We're not just automating note-taking. We use the multi-source feature so each interviewer goes in unbiased but informed enough to cover new ground."
MF Madison Farris Global TA Specialist · Airalo

Pull in ATS custom fields

Reports are sharper when they speak the same language as your ATS. You can now build reports with custom ATS fields: the department you're hiring for, employment type, seniority, or plenty of other options.

The Metaview Reports column picker pulling a custom Department field from a connected Greenhouse ATS.

Ashby and Greenhouse are live now, with more ATS platforms on the way.

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Take technical interviews to the next level

Coding tasks are a critical part of tech hiring. Metaview now reads code shared during screenshares and generates structured notes covering:

  • How the candidate implemented the solution
  • Code quality and structure
  • Key decisions and data structures used
Metaview's auto-generated technical-interview notes summarizing a candidate's coding solution, decisions, and data structures from a shared screenshare.

No more memory tests for hiring managers after each coding session. The interview is captured, structured consistently, and easy to review.

Use real conversations as sourcing context

AI Sourcing already finds candidates that match your stated criteria. The gap has been bridging "stated criteria" and "what actually worked last time."

AI Sourcing pulling intake-call context from a recorded Metaview conversation to refine its candidate search criteria.

You can now upload existing conversations as sourcing context. The AI agent pulls full context from role intake calls (sharper ICP alignment, more nuanced search) and lines up past interviews with great candidates to surface lookalikes faster.

Searches get smarter, and they stay grounded in what real conversations reveal.

A new priority or an urgent red flag mid-search used to mean starting over. Not anymore.

An AI Sourcing search in progress with a recruiter editing the criteria pane mid-run, and the agent updating results without restarting.

You can now adjust your sourcing criteria mid-search, and Metaview's AI agents update accordingly. You save time and brain bandwidth, and the AI zeroes in faster.

Plenty more to come

January's done. February's already here. We're hard at work building what's next.

If you're a customer, let us know what you think about these latest improvements.

New to Metaview? There's never been a better time to bring AI efficiency and insights into your recruiting stack.

Frequently asked

Which ATSes support custom fields in Reports?

Ashby and Greenhouse are live at launch. Lever and Workday are next in the queue. If you need a different platform or specific fields enabled, email support@metaview.ai with the platform and the field names.

Does Metaview keep the code shared during a tech interview?

Yes. Captured code lives with the rest of the interview record in your Metaview workspace. Standard retention windows apply (the same as transcripts and notes), and data residency follows your workspace region setting. To wipe a specific session, your admin can delete it from Settings > Recordings.

Can I revert an Improve Prompt change if it didn't land the way I wanted?

Yes. Every prompt edit is versioned. Open the template in Custom Templates or AI Reports, click the prompt history icon, and roll back to any prior version. Each version timestamps who edited and when.

How do AI-generated Reports columns differ from columns I create manually?

Manual columns ask interviewers to fill in a field at scorecard time. AI-generated columns infer their value from the interview transcript automatically. You can mix both in one report: manual for evaluative scoring, AI-generated for signal that lives in the conversation (location, experience level, hiring manager sentiment). Both can be edited after the fact.

See it in action

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