New feature on Lavalier by Textio shows hiring teams where candidate evidence is strong, where it's thin, and where to dig deeper

Textio today launched Skills Matrix, a new feature in Lavalier, a comprehensive interview intelligence platform, that visually maps what candidates shared in their interviews to the specific requirements of the role. Instead of reconciling transcripts, scattered notes and feedback, Skills Matrix organizes interview evidence against the competencies that matter, so teams can see at a glance where a candidate has experience and where signals are thin.

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Lavalier Interview Intelligence today released Skills Matrix, a feature that automatically documents candidate performance against job-related capabilities as interviews are completed. It visually surfaces evidence, but it doesn't hand down hiring decisions. It shows hiring teams exactly what the candidate said, mapped to role requirements, with a clear read on whether there's enough evidence to make a confident decision.

“Most AI interview tools just want to score candidates and tell you who to hire. We think that's backwards,” said Colleen Gallagher, CEO of Textio. “The job of interview intelligence isn't to replace the hiring team’s judgment, it's to give that judgment something real to stand on. Skills Matrix shows you the evidence, organized against what the role actually requires and where the evidence is thin. That's how you make a confident decision instead of a confident guess.”

When hiring teams explicitly document assessment of candidate performance against job-related capabilities, research has shown the eventual hire performs better on the job. High-quality interview documentation predicts on-the-job performance, but it goes even further. Candidates who are hired based on high-quality, documented interview assessments are also more likely to be in the organization three years later. In other words, when hiring teams document clear skills assessments, they make better hires.

Skills Matrix automatically documents candidate performance against job-related capabilities as interviews are completed. It visually surfaces evidence, but it doesn't hand down hiring decisions. It shows hiring teams exactly what the candidate said, mapped to role requirements, with a clear read on whether there's enough evidence to make a confident decision.

With Skills Matrix, recruiting teams can:

• Easily see candidate evidence mapped to role requirements automatically: Every relevant response a candidate provides throughout the interview process is tied back to the competencies defined at role intake, no manual cross-referencing.
• Focus in on a specific candidate or expand out to see all candidates mapped to a role: Review candidate evidence gathered in one interview, their entire interview process, or all candidates in pipeline for a specific role—all in one comprehensive view.
• See where the hiring signals are: Skills Matrix flags strong evidence, areas that need more exploration, and requirements that haven't been covered yet, so gaps are obvious and can be addressed in follow up conversations before final debriefs.
• Improve decision and hiring quality: Skills Matrix doesn't decide for you, it gives every hiring team the same evidence to decide from, so evaluations stay consistent, debriefs are faster, and you can defend exactly why a candidate did or didn't clear the bar.

Skills Matrix is available now for all Lavalier users. To try it during your next hiring process, visit lavalier.ai

About Textio

Textio is a leader in building tools that help high-growth companies recruit and give feedback to high-performing teams. The company's latest innovation is Lavalier, an interview intelligence platform that helps recruiting teams raise their hiring bar with structured interviews that gather hiring evidence. Founded in 2014, people leaders at companies like Bloomberg, Cisco, Johnson & Johnson, Samsung, Spotify, and more choose Textio to help them attract and develop top talent. Textio has been named to Fast Company's World's Most Innovative Companies list several times, in addition to the TIME’s Top WorkTech Companies, Fortune Impact 20, Forbes AI 50, and CNBC Disruptor 50.

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