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Feature Title

Feature description goes here

What is Weighted Scoring?

A mathematical approach to candidate evaluation that ensures fair, consistent, and objective hiring decisions

[Placeholder Image - Weighted Attributes Interface]
100% Weighted Attributes
All job attributes are assigned weights that sum to exactly 100%, ensuring balanced evaluation criteria
[Placeholder Image - Score Calculation Dashboard]
Post-Stage Calculations
Scores are calculated after each interview stage, providing real-time candidate assessment updates
[Placeholder Image - Bias Analysis Report]
Bias Elimination
Mathematical scoring removes subjective bias and ensures consistent evaluation across all candidates

How It Works

Scientific approach to candidate evaluation that delivers consistent, fair results

1

Define Attributes

Set up job-specific attributes with customized weights that total 100%

2

Conduct Interviews

Interviewers evaluate candidates against each weighted attribute

3

Calculate Scores

System automatically calculates weighted scores after each interview stage

[Placeholder: Weighted Scoring Formula Visualization]

Scoring Methodology

Understanding the mathematical foundation of fair candidate evaluation

Weighted Score Calculation

Attribute Weight

Each attribute assigned a percentage (e.g., Technical Skills: 40%)

Raw Score

Interviewer rates candidate (1-5 scale) for each attribute

Final Score

Weighted average calculated automatically (Raw Score × Weight)

Example Calculation:

Final Score = (Technical × 40%) + (Communication × 30%) + (Problem Solving × 30%)

= (4 × 0.4) + (5 × 0.3) + (3 × 0.3) = 1.6 + 1.5 + 0.9 = 4.0

Workflow Improvements

How Weighted Scoring transforms your evaluation process

Before Ohriv

Subjective evaluation based on interviewer "gut feeling"

Inconsistent scoring across different interviewers

Difficulty comparing candidates fairly

Potential bias in hiring decisions

After Ohriv

Mathematical evaluation based on predefined criteria

Consistent scoring methodology across all interviews

Objective candidate comparison with numerical scores

Reduced bias through systematic evaluation

Achieve 85% reduction in hiring bias with weighted scoring methodology

Ready for Fair, Consistent Evaluations?

Implement weighted scoring to eliminate bias and improve hiring quality