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.
Add the job title, candidate names, and basic profile information. You can score up to 10 candidates in a single session.
Rate each candidate from 1 to 10 across six validated success dimensions - skills, experience, behaviour, cultural fit, cognitive ability, and growth potential.
Instantly see each candidate's Predictive Success Score, tier classification, dimension radar chart, and side-by-side comparison ranking.
Add candidates, rate each dimension, and click Calculate Predictive Scores for an instant recommendation.
Sum of (Dimension Score x Dimension Weight) / Maximum Possible Score x 100Default 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%
Below StandardMeets BaselineAbove AverageExceptionalCandidate CPSS / Highest CPSS in Pool x 100Weights are configurable in the Advanced Settings panel and must total 100%.
CPSS Tier Classification:
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.
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.
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