The Science Behind Krownie's Voice Interview Scoring

AI analyzing voice data for hiring

Ever wonder how Krownie evaluates candidates? Here’s a peek into the AI models, filters, and custom scoring logic behind every voice interview.

Introduction

Hiring shouldn’t be a guessing game. Krownie uses advanced AI models to turn subjective interviews into objective data—so your team can make smarter hiring decisions.

Voice Signals That Matter

  • Energy & Enthusiasm: High-energy responses often indicate engagement
  • Speech Rate & Clarity: Measured pacing and minimal filler words boost fluency scores
  • Tone & Confidence: We measure emotional tone and how well it aligns with content

Custom Rubrics for Every Role

  • Role-Specific Filters: Set different scoring priorities for SDRs, engineers, or managers
  • AI Training: Models improve with feedback and learn your hiring patterns over time
  • Bias Control: Our system applies guardrails to mitigate demographic biases

Conclusion

Every Krownie score is backed by science. You’re not just getting faster interviews—you’re getting deeper insight into every candidate, every time.

Additional Resources