Finding a candidate's scorecard
There are two ways to access a candidate's scorecard:
From the interview detail page — Open an interview, go to the Candidates tab, and click on any candidate row.
From the global Candidates page — Click Candidates in the left sidebar to see all candidates across all interviews, then click on one.
Understanding the overall score
Each candidate receives an overall score out of 100. This score is a weighted blend of:
Interview performance — How the candidate performed in the AI conversation across all evaluation categories.
Resume evaluation (if enabled) — How well the candidate's resume aligns with the role requirements.
The overall score appears in the candidate detail header as a color-coded badge (green for 80+, blue for 60+, amber for 40+, red below 40). Hover over the score badge to see a tooltip breakdown of individual category scores.
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Tip: The color-coded badge gives you an instant read on candidate quality — green means strong, red means needs attention.
Reading the evaluation breakdown
The Evaluation card on the candidate detail page is divided into sections. Only sections with data are shown.
Summary
The Summary section appears first and includes a concise overview of the candidate's performance. Click Show details to expand additional subsections:
Background — Context about the candidate's relevant experience and background.
Strengths — Specific positive qualities the AI identified (e.g., "Clear examples of project leadership" or "Strong technical vocabulary").
Concerns — Areas where the candidate fell short or left gaps (e.g., "Vague on specific tooling experience" or "Limited examples of team collaboration").
Questions from candidate — Any questions the candidate asked during the interview.
Tools and skills — Relevant tools, technologies, and skills mentioned by the candidate, displayed as tags.
Interview Performance
Five standard categories are evaluated:
Communication — Clarity, articulation, and ability to convey ideas effectively.
Skills & experience — Relevant knowledge, skills, and professional experience for the role.
Problem solving — Analytical thinking and ability to propose solutions.
Enthusiasm — Genuine interest and motivation for the role, energy level, and cultural alignment.
Professionalism — Preparation, demeanor, and overall conduct.
Each category shows a score with a progress bar. Click on any category row to expand an AI-generated explanation of the score.
English Proficiency
When language proficiency scoring is enabled, a separate section shows four sub-scores:
Comprehension — Ability to understand spoken English and grasp nuanced meanings.
Fluency and pace — Natural flow of speech and appropriate pacing.
Grammar and structure — Correct use of grammar and sentence structure.
Vocabulary — Range and appropriateness of word choice.
Resume Evaluation
When resume screening is enabled and the candidate uploaded a resume, you'll see four sub-scores:
Experience relevance — How well the candidate's background matches the role.
Skills match — Alignment of technical and soft skills with job requirements.
Education & certifications — Relevant degrees, courses, and credentials.
Career progression — Growth trajectory and professional development over time.
A Resume Insights subsection may also appear, showing extracted skills, key experiences, career highlights, and education details.
Custom Scores
If you added custom evaluation criteria (e.g., "Sales aptitude" or "Technical depth"), these appear in their own section with individual scores and explanations.
Tips for using scorecards effectively
Compare candidates within the same interview — Scores are calibrated per interview, so comparing across different interviews may not be meaningful.
Read the summary and concerns — Scores tell you the "what"; the written evaluation tells you the "why."
Use custom criteria for the most role-relevant scoring when standard categories don't capture what matters most.
Enable resume screening when credentials and experience are important differentiators.