Cutting Noise: Scorecards with Receipts
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Hiring SystemsAI in Recruiting
TL;DR
Most scorecards are opinion. Ours come with receipts—direct quotes from interviews that prove the score. Faster decisions, less bias.
Cutting Noise: Scorecards with Receipts
Most recruiting scorecards are opinion dressed up as data. "Strong technical skills" says nothing. "Candidate demonstrated deep understanding of distributed systems architecture, specifically mentioning experience with Kafka partitioning and Redis clustering" says everything.
#The Problem with Traditional Scorecards
Traditional recruiting relies on gut feel and vague assessments. Hiring managers get scorecards that look scientific but contain subjective ratings without evidence.
#Our Approach
Every score comes with receipts—direct quotes from interviews that justify the rating. This creates:
- **Faster decisions**: No need to re-interview to understand candidate strength
- **Less bias**: Evidence-based rather than feeling-based
- **Better calibration**: Teams align on what "strong" actually means
#Coming Soon
Full implementation details and examples from real searches.
Traditional recruiting relies on gut feel and vague assessments. Hiring managers get scorecards that look scientific but contain subjective ratings without evidence.
#
Our Approach
Every score comes with receipts—direct quotes from interviews that justify the rating. This creates:
- **Faster decisions**: No need to re-interview to understand candidate strength
- **Less bias**: Evidence-based rather than feeling-based
- **Better calibration**: Teams align on what "strong" actually means
#Coming Soon
Full implementation details and examples from real searches.
Full implementation details and examples from real searches.