SkillsLib.ai

Greenhouse Candidate Evaluation Assistant

Standardize Greenhouse candidate evaluations and scoring

0.0(0 reviews)
100+ downloads
Updated Oct 2026

What You Can Do

You can systematize your hiring process by standardizing how interview feedback is recorded, scored, and presented to hiring teams. This skill ensures consistency in evaluation criteria, detects potential unconscious bias in feedback, and generates objective candidate summaries that drive better hiring decisions. It works seamlessly with Greenhouse's structured feedback format and scoring workflows.

Features

Standardized scoring framework

Apply consistent evaluation criteria (1-5 scale) across all candidates and interviewers

Bias detection

Flag language patterns that may indicate unconscious bias and suggest more objective alternatives

Feedback summarization

Auto-generate concise, neutral candidate evaluations from raw interview notes

Scoring reconciliation

Identify interviewers who consistently rate higher/lower than peers and spot outliers

Interview templates

Generate structured feedback prompts aligned with your role competencies and job requirements

Hiring recommendations

Produce decision-ready summaries with move-forward, hold, or reject guidance with reasoning

Comparative ranking

Score and rank multiple candidates side-by-side against identical criteria

Greenhouse-compatible formatting

Output evaluations in formats that map directly to Greenhouse custom fields

Example Output

Candidate Score Card: Sarah Chen — Senior Product Manager

Interview Scores

  • Technical Depth: 4.2/5
  • Product Strategy: 4.5/5
  • Leadership & Delegation: 3.8/5
  • Communication: 4.6/5
  • Overall Score: 4.3/5

Key Strengths

  • Demonstrated strong grasp of product development lifecycle and trade-offs
  • Excellent communication; asked probing questions about strategy and metrics
  • Clear examples of cross-functional collaboration

Development Areas

  • Limited experience managing teams of 10+
  • First exposure to hardware products (role requires this)

Recommendation: Move to offer stage — schedule with hiring committee


Comparative Candidate Ranking

CandidateTechnicalStrategyLeadershipAvg ScoreRecommendation
Sarah Chen4.24.53.84.2Offer
Marcus Park3.94.84.34.3Offer
Priya Patel4.73.93.23.9Hold

Analysis: Both Sarah and Marcus qualify for offers. Marcus has leadership edge; Sarah stronger on strategy. Recommend proceeding with both.

What's Included

  • SKILL.md file with complete candidate evaluation workflow and decision trees:
  • Interview feedback assessment template and scoring rubric:
  • Bias detection guidelines with flagged language patterns:
  • Competency framework template (customizable per role):
  • How-to guide with step-by-step Greenhouse integration instructions:

Who It's For

  • Hiring managers standardizing feedback across multiple interviewers
  • Talent acquisition leaders scaling hiring processes while reducing bias
  • Technical recruiters evaluating candidates using consistent scoring
  • HR leaders implementing structured hiring workflows and fairness audits
  • Team leads conducting technical or behavioral interviews for new hires

Best For

  • Standardizing interview feedback across distributed interview teams
  • Scoring candidates consistently against role-specific competencies
  • Detecting and mitigating unconscious bias in hiring decisions
  • Generating objective candidate comparison reports for hiring committees
  • Creating structured evaluations compatible with Greenhouse workflows

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