Candidate Predictive Success Score Calculator - Predict Hiring Success Before You Hire

Score candidates across skills, experience, behaviour, culture fit, and potential using a structured weighted model. Compare multiple candidates side by side and get an instant predictive hire recommendation. Free, no sign-up required.

Free Forever - No credit card needed
Multi-candidate comparison supported
Backed by I/O psychology research
Instant Results - No email required

How to Use the Candidate Predictive Success Score Calculator in 3 Steps

Step 1

Enter Role and Candidate Details

Add the job title, candidate names, and basic profile information. You can score up to 10 candidates in a single session.

Step 2

Score Each Dimension

Rate each candidate from 1 to 10 across six validated success dimensions - skills, experience, behaviour, cultural fit, cognitive ability, and growth potential.

Step 3

View Results and Hire Recommendation

Instantly see each candidate's Predictive Success Score, tier classification, dimension radar chart, and side-by-side comparison ranking.

Candidate Predictive Success Score

Score candidates across six validated dimensions and get an instant predictive hire recommendation.

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Section A & B — Candidate Information & Dimension Scores

1Candidate 1
Section B — Dimension Scores (1-10)
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Below StandardMeets BaselineExceptional
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Below StandardMeets BaselineExceptional
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Below StandardMeets BaselineExceptional
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Below StandardMeets BaselineExceptional
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Below StandardMeets BaselineExceptional
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Below StandardMeets BaselineExceptional

Ready to score your candidates?

Add candidates, rate each dimension, and click Calculate Predictive Scores for an instant recommendation.

How Is a Candidate Predictive Success Score Calculated?

CPSS = Sum of (Dimension Score x Dimension Weight) / Maximum Possible Score x 100 Default Dimension Weights (Schmidt & Hunter meta-analytic research): - Technical Skills: 25% - Work Experience: 20% - Behavioural Competency: 20% - Cultural Fit: 15% - Cognitive / Problem-Solving: 12% - Growth Potential: 8% Score Scale: 1-3 = Below Standard | 4-6 = Meets Baseline | 7-8 = Above Average | 9-10 = Exceptional Candidate Rank Index = Candidate CPSS / Highest CPSS in Pool x 100 Weights are configurable in the Advanced Settings panel and must total 100%.

What Is a Good Candidate Predictive Success Score?

CPSS Tier Classification: - 80-100: High Potential - Strong alignment across most dimensions. Recommended as a priority hire. - 55-79: Meets Criteria - Solid in several areas with development gaps worth evaluating. Conditional or panel hire. - 0-54: Below Threshold - Significant gaps across multiple success dimensions. Not recommended to advance. For senior / executive hiring: increase weight on Growth Potential and Behavioural Competency; reduce Technical Skills weight. For volume / entry-level hiring: increase Technical Skills and Experience weights.

❓ FAQ

Frequently Asked Questions

A Candidate Predictive Success Score (CPSS) is a structured hiring metric that calculates the predicted probability of a candidate succeeding in a role by scoring them across multiple evidence-backed dimensions including skills, experience, behavioural competencies, cultural fit, cognitive ability, and growth potential. The scores are weighted and normalised to produce a single 0 to 100 score with a tier classification.

Candidate Predictive Success Score | Free HR Tool | NextinHR