# How Eneba uses Metaview

**5-10 minutes**: “AI-enhanced scorecards save 5-10 minutes per candidate”

As published on [metaview.ai](https://www.metaview.ai/resources/case-study/eneba-sources-technical-talent-ai-agents). Captured by usedby on 2026-10-07.

- Company: [Eneba](https://www.usedby.ai/companies/eneba.md)
- Tool: [Metaview](https://www.usedby.ai/tools/metaview.md)
- Industry: [Marketplace](https://www.usedby.ai/companies/industry/marketplace.md)
- Teams: Recruiting, Talent Acquisition

## What the story says

Eneba's technical recruiter uses Metaview to record intake meetings and interviews, source candidates with an ideal profile that builds over time from hiring manager feedback and past hires, generate scorecards automatically, and retrieve interview data for hiring decisions. She also connects Metaview to Lever and Claude via MCP to build hiring reports.

Summary written by usedby from the source page, in English. The figures are those of Metaview and Eneba, not ours.

> AI-enhanced scorecards save 5-10 minutes per candidate, while removing the need to copy transcripts into external AI tools.

> Metaview is one of the most successful agents I've seen so far.
>
> Sara Machado, Senior Technical Talent Acquisition & Onboarding Partner

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 5-10 minutes is printed word for word on the page, near the name of Eneba.
- Checked: the passage quoted above is copied word for word from the page, near the name of Eneba.
- Checked: Eneba uses Metaview. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

---
Source: https://www.usedby.ai/case-studies/eneba-metaview · How we check: https://www.usedby.ai/methodology