A comprehensive comparison of AI-assisted evaluation vs. traditional manual screening. Discover how Tanova saves time, reduces bias, and improves hiring quality.
| Feature | Manual Screening | Tanova AI |
|---|---|---|
| Time per CV | 15-20 minutes Reading, analyzing, note-taking | 60 seconds Instant comprehensive analysis |
| Consistency | Variable Depends on recruiter mood, fatigue, time of day | 100% consistent Same criteria applied to every candidate |
| Unconscious Bias | Present Name, photo, university, age, gender | Minimized Focus on skills, experience, and fit |
| Evaluation Depth | Surface level Quick scan of experience and skills | 7-dimensional analysis Qualifications, capabilities, culture fit, expectations |
| Hidden Gem Detection | Often missed Non-traditional candidates filtered out | Actively detected Identifies career changers and self-taught talent |
| Interview Preparation | Manual Recruiter generates questions separately | Auto-generated questions Tailored questions based on CV and concerns |
| Documentation | Sparse notes Brief comments, if any | Full evaluation report Detailed strengths, concerns, scores, and reasoning |
| Audit Trail | Limited Hard to track decision rationale | Complete history Who evaluated when, with full reasoning |
| Scalability | Limited Bottleneck during high-volume hiring | Unlimited Process hundreds of CVs simultaneously |
| Cost per Evaluation | €5-10 20 minutes × €15-30/hr recruiter rate | €1.40-€2.80 Or €0.07-€0.14 for quick screens |
| GDPR Compliance | Manual tracking Spreadsheets and reminders needed | Automated Built-in retention management and deletion |
Scenario: Startup needs to hire 5 developers from 200 applications
Scenario: Agency handling 10 client roles with 50 candidates each
Scenario: Finding the right candidate, not just the fastest hire
Scenario: GDPR requirements and defending hiring decisions
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