How Miro aligns pay expectations with real candidate data using Metaview Reports

Описание: Miro’s Talent team is hiring at serious scale, particularly for sales roles in the U.S. and EMEA. But despite compensation bands that appeared market-aligned on paper, candidates were dropping out of the funnel, and closing roles was becoming increasingly difficult.

So Miro turned to Metaview Reports to understand where the misalignment was coming from, and why their offer acceptance rates were low.

Learn how Miro uses Metaview Reports to:

Turn hiring challenges into data-driven questions
Uncover compensation realities
Take insight-inspired action across regions and roles
Strengthen trust with Compensation and hiring managers
Expand reporting to drive continuous improvement

Talent Acquisition Manager Dea Rocha Pitta takes us through this impressive hiring transformation.

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Interesting links:
Visit the Metaview blog for more recruiting stories and insights 👉https://www.metaview.ai/resources
Explore the latest interview trends 👉 https://trends.metaview.ai/

About Metaview:
Metaview is what AI in hiring should be—a suite of connected agents that work across your process to save time, boost decision quality, and elevate the candidate experience.

It started as the most loved AI Notetaker in recruiting—saving 10 hours per recruiter, per week—and has evolved into a the #1 AI recruiting platform trusted by 3,000+ companies, including Brex, Deel, ElevenLabs, and Sony.

Metaview’s AI Platform powers:
Instant job post creation
Automated sourcing and deep market research
AI-powered interviewing, scorecards, and rubrics
Better recruiter—hiring manager relationships
Pipeline, performance, compensation insights, and more!

See what radically better hiring looks like with Metaview. It takes just minutes to get started for free 👉https://my.metaview.app/auth/sign-up