Summarize interviews into candidate scorecards
Use an AI recruiting assistant to analyze interview recordings or transcripts, turn skills, experience, and motivations into recruiter interview notes, and fill each candidate's interview scorecard in your ATS.
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On a set schedule [e.g. Every 3 hours, Daily] retrieve new interview call transcripts from [meeting recording platform, e.g. Zoom, Gong, Otter.ai]. AI analyzes each transcript and extracts the candidate's experience, skills, and motivations into structured recruiter notes. It then matches the candidate in [applicant tracking system] and fills their interview scorecard with the notes and supporting evidence for each criterion, ready for the hiring team to review.
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Problem
Recruiters manually review interview recordings and transcripts, then extract skills, experience, and motivations by hand. Notes are inconsistent, scorecards stay incomplete, and stronger candidates can be missed or evaluated unevenly.
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Solution
When an interview recording or transcript is saved to the meeting platform, the automation retrieves it and uses AI to extract the candidate's experience, skills, and motivations into structured recruiter notes. It then matches the candidate in the ATS and fills their interview scorecard with the notes and supporting evidence for each criterion, ready for the hiring team to review.
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Impact
Every candidate is judged on complete, comparable records instead of uneven notes, so strong applicants stand out and the team reaches offers sooner.
Benefits
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Faster hiring decisions
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Reduced recruiter admin
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Consistent candidate evaluation
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Fewer overlooked candidates
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
