How to Create Evaluation Factors
Create weighted evaluation factors to score candidate responses consistently with AI-generated or manual criteria.
What is Evaluation Factors?
Evaluation factors are custom scoring criteria you use to assess candidate responses systematically. Define factors such as communication skills, technical knowledge, and cultural fit to score interviews with the same standard across candidates.
AI scores candidate responses using weighted factors and returns numerical scores with feedback for each factor, so you can compare candidates with less manual review.
How to Create Evaluation Factors
Open the job you want to update
When creating a new job or editing a job, open the job settings.
Click the Customisation tab
Select the Customisation tab.
Go to the AI Evaluation section
On the left side, find the AI Evaluation section.
Click the AI Evaluation tab
Open the AI Evaluation tab.
Click the Add Factors tab
Click the Add Factors tab to create new evaluation factors.
Two Ways to Create Factors
AI-Generated Factors
Use AI-generated factors when you want a fast starting point.
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Select the AI-generated option.
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Review the suggested factors.
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Edit the names, descriptions,skill, weights, or color if needed.
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Save the factor set when the criteria match your interview goals.
Manually Create Factors
Use manual creation when you already know the exact criteria you want to score.
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Select the manual creation option.
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Add each factor one at a time.
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Define the description,skill, indicators, rubric, weight, and color for each factor.
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Save the factor set after you finish entering the criteria.
Evaluation Factor Components
Each evaluation factor includes the following parts:
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Factor name — The label that appears in the evaluation setup.
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Description — A short explanation of what the factor measures.
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Indicators — Observable signs that help reviewers and AI score the factor consistently.
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Rubric — A 5-level scoring guide with clear criteria for each level. It helps ensure every response is scored consistently and transparently.
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Weight — The importance of the factor compared with the others.
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Color — A visual label that helps distinguish factors in the interface.
The rubric uses a 5-level scale:
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Poor (1) — Does not meet expectations
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Below Average (2) — Partially meets expectations
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Average (3) — Meets expectations
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Good (4) — Exceeds expectations
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Excellent (5) — Significantly exceeds expectations
Best Practices
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Use factors that map directly to the role requirements.
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Keep factor names short and specific.
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Write descriptions that make the scoring standard clear.
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Use indicators that are observable in candidate responses.
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Assign higher weights to the factors that matter most for the role.
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Keep the rubric consistent across all factors.
Evaluation factors improve consistency, increase objectivity, and reduce manual evaluation time.
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