One open role. 200 applications received in 48 hours. A recruiter with 4 hours ahead of them.
Without the right tool, they will review the first 30 resumes seriously, rush through the rest, and make decisions on growing decision fatigue. That is human. It is also a problem.
Automated CV scoring solves this problem provided you configure it correctly.
What CV scoring really is
CV scoring is not a mysterious AI that decides for you. It is a weighted scoring system you configure according to your criteria, and that applies those criteria identically to every application.
You define:
- The criteria (experience, skills, degrees, industry, location)
- The weights (how much each criterion counts in the final score)
- The thresholds (below what score a resume is automatically set aside)
The AI analyzes each resume, applies your rubric, and produces a score from 0 to 100 with a detailed explanation. You stay in control of the criteria. It handles the volume.
Concrete case: 200 resumes, 4 criteria, 1 hour
Take a real example. Role: Senior Full-Stack Developer, Paris.
Evalyo rubric setup:
| Criterion | Weight | What we measure |
|---|---|---|
| Experience (5+ years) | 35% | Years of relevant experience |
| Tech stack (React + Node) | 30% | Technology match |
| Industry (Tech / SaaS) | 20% | Experience in similar environments |
| Location (Paris / Remote) | 15% | Geographic availability |
Result after processing:
- 200 resumes analyzed in 5 minutes
- 34 resumes scoring > 70/100 → automatic shortlist
- 89 resumes between 40 and 70 → quick manual review
- 77 resumes < 40 → set aside with an automatically generated reason
The recruiter does not spend 4 hours reading 200 resumes. They spend 45 minutes reviewing 34 truly relevant profiles and can dig into the 89 borderline cases with a critical eye.
Why the score alone is not enough
Scoring is a triage tool, not a decision tool. A score of 85/100 does not mean the candidate is perfect. It means that, on your stated criteria, this profile is a strong match.
Evalyo always shows the reasoning behind each score: which criteria were met, which were missed, what weighed in the final mark. This lets you:
- Verify that the system is applying your intent
- Identify atypical candidates who deserve special attention
- Justify your decisions if they are challenged (a growing legal obligation)
Criteria to avoid
Some criteria seem relevant but introduce illegal biases:
- Name and first name (hiring discrimination)
- School of origin (correlated with social background, not skill)
- Photo (physical appearance)
- Date of birth (age discrimination)
Evalyo structurally excludes this data from its analysis. Scoring is based on skills, experience and the relevance of the background nothing else.
What it changes in practice
Our partner recruiters report on average:
- -68% of time spent on initial screening
- +40% of diversity in shortlists (fewer school/name biases)
- 3x more applications handled per recruiter per month
The most unexpected result: rejected candidates receive a clear reason. This detail, often overlooked, transforms the candidate experience even for those who do not move forward in the process.