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Sara - Hiring

Scoring & Evaluation Rubrics

Learn how Sara evaluates candidates across 5 dimensions (accuracy, depth, relevance, communication, examples). Configure custom competencies, scoring scales, and bias-reduction measures.

6 min readUpdated 2026-02-01

Evaluation Dimensions

Sara evaluates every answer across five core dimensions. Each dimension receives an independent rating. This multi-dimensional approach captures strengths that a single overall score would miss.

DimensionWhat Sara EvaluatesExample of a Strong Answer
AccuracyIs the answer factually correct and technically sound?Correctly identifies the solution and explains trade-offs
DepthHow thoroughly did the candidate explain their reasoning?Covers multiple layers: what, why, how, and edge cases
RelevanceDid the candidate address the actual question asked?Stays focused on the question without tangential detours
CommunicationWas the explanation clear, structured, and easy to follow?Uses logical structure, transitions, and concise language
ExamplesDid the candidate provide concrete, real-world examples?References specific projects, metrics, or outcomes from experience

Answer Ratings

Sara assigns each answer one of three ratings. These ratings feed into the overall score calculation.

RatingMeaning
StrongExceeds expectations across multiple dimensions
AdequateMeets requirements with acceptable depth and accuracy
WeakBelow expectations in one or more critical dimensions

Note

Unanswered questions receive a 20% score penalty each. This ensures candidates who skip questions are compared fairly with those who answer everything.

Overall Scoring Tiers

Sara calculates an overall score from 0-100 and assigns a tier. Each tier includes a clear hiring recommendation.

ScoreTierHiring Recommendation
90-100ExceptionalHire immediately
80-89ExcellentRecommend for next round
70-79GoodConsider for role fit
55-69AverageMeets minimum, review carefully
Below 55Below AverageDoes not meet requirements

Custom Competencies

Beyond the five default dimensions, you can add custom competencies specific to your organization. For example, add "Security Awareness" for a DevOps role or "Client Empathy" for a customer-facing position. Sara evaluates these custom competencies using the same structured rubric as the default dimensions. Add custom competencies in the job settings under the "Evaluation" tab.

Bias Reduction

Sara reduces hiring bias through structured evaluation. Every candidate answers the same questions, evaluated against the same rubric, with the same scoring criteria. Sara does not factor in name, gender, age, ethnicity, accent, or appearance. She scores based on content, reasoning, and demonstrated skill. This structured approach ensures a consistent baseline that human interviews often lack. Use Sara's scores as one input alongside your team's judgment, not as the sole decision-maker.

Frequently Asked Questions

Can I adjust the weight of each evaluation dimension?
Yes. In the job settings under "Evaluation," you can increase or decrease the weight of any dimension. For example, you might weight "Accuracy" at 40% and "Communication" at 10% for a highly technical role.
How does Sara handle candidates who answer in a different language?
Sara supports 50+ languages. If a candidate answers in a different language than the interview was configured for, Sara evaluates the content of the answer using the same rubric. The language of the response does not affect the scoring. She notes the language switch in the report for your reference.
Does Sara use keyword matching to score answers?
No. Sara uses 100+ signal scoring, not keyword matching. She evaluates the meaning, reasoning, and quality of each answer across all five dimensions. A candidate who explains a concept correctly in their own words scores the same as one who uses textbook terminology.

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