COMPARISON GUIDE

Tanova vs. Manual CV Screening

A comprehensive comparison of AI-powered evaluation vs. traditional manual screening. Discover how Tanova saves time, reduces bias, and improves hiring quality.

20x Faster

60 seconds vs. 15-20 minutes per CV

100% Consistent

Same evaluation criteria for every candidate

Zero Bias

Objective scoring without unconscious bias

Detailed Comparison

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

Real-World Scenarios

High-Volume Hiring

Scenario: Startup needs to hire 5 developers from 200 applications

Manual Screening:

200 CVs × 20 min = 67 hours (1.7 weeks full-time)

With Tanova:

200 quick screens × 10 sec = 33 minutes
Top 50 full evaluations = +25 minutes
Total: ~1 hour

Result: 67x faster screening

Recruitment Agency

Scenario: Agency handling 10 client roles with 50 candidates each

Manual Screening:

500 CVs × 15 min = 125 hours
Cost: 125 hrs × €25/hr = €3,125

With Tanova:

500 evaluations × €1.40-€2.80 = €700-€1,400
+ 5 hours review time = €825-€1,525 total

Result: €1,600-€2,300 saved (51-74% cost reduction)

Quality Improvement

Scenario: Finding the right candidate, not just the fastest hire

Manual screening challenges:

Recruiter fatigue after reviewing 20+ CVs
First-impression bias (strong/weak intro paragraph)
Overlooking career changers with transferable skills
Inconsistent evaluation criteria between candidates

Tanova advantages:

✓ Every candidate evaluated with equal attention
✓ Hidden gem detection for unconventional backgrounds
✓ 7-dimensional analysis catches cultural mismatches early
✓ Consistent scoring allows fair comparison

Result: Better quality of hire, fewer mis-hires

Compliance & Audit

Scenario: GDPR requirements and defending hiring decisions

Manual screening issues:

Scattered notes across emails and spreadsheets
Difficult to prove non-discriminatory hiring
Manual GDPR deletion tracking prone to errors
Hard to explain "gut feeling" rejections

Tanova provides:

✓ Documented evaluation criteria for every decision
✓ Automatic GDPR-compliant data retention
✓ Full audit trail (who evaluated, when, why)
✓ Objective scoring defensible in disputes

Result: Lower legal risk, easier compliance

When to Use Each Approach

👤 Manual Screening Still Makes Sense For:

•Executive roles requiring nuanced judgment and extensive experience
•Very small applicant pools (1-5 candidates) where speed isn't critical
•Highly specialized roles where domain expertise is essential
•Internal promotions where you already know candidates well

🤖 Tanova AI Excels For:

✓High-volume hiring (50+ applications per role)
✓Fast-growing companies hiring across multiple roles simultaneously
✓Recruitment agencies handling multiple clients
✓Standardized roles with clear requirements (developers, sales, support)
✓When bias reduction is a priority
✓Finding hidden gems among non-traditional candidates

Best Practice: Use Tanova for initial screening to quickly narrow 200 candidates to 20, then apply manual judgment for final selection. This combines AI efficiency with human intuition.

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