SkillsLib.ai

Faculty Review and Promotion Recommendation Framework

Synthesize faculty evaluations into defensible promotion and tenure recommendations

3.7(31 reviews)
100+ downloads
Updated Oct 2026
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What You Can Do

You can conduct rigorous, comprehensive faculty evaluations that synthesize peer reviews, student evaluations, research metrics, and service contributions into coherent narratives. The framework helps you identify performance gaps, articulate clear standards, and generate promotion recommendations with thorough documentation that withstands scrutiny and appeals.

Features

Structured evaluation template

organize teaching, research, and service data across disciplines with discipline-specific weighting

Evidence aggregation

synthesize peer letters, student feedback, publication metrics, and service records into unified assessment

Comparative analysis

evaluate multiple candidates side-by-side using consistent rubrics and standards

Gap identification

surface discrepancies between self-perception and documented evidence to inform development conversations

Defensibility documentation

generate decision summaries with specific reasoning that articulates institutional standards and fair process

Discipline-calibration guidance

navigate different research and teaching expectations across humanities, sciences, and social sciences

Appeals preparation

create comprehensive records that demonstrate thorough evaluation and address common grievance arguments

Example Output

Tenure Recommendation Summary for Dr. Sarah Chen (Chemistry)

Teaching (Satisfactory, 25% weight): 4.2/5 average student evaluations; developed new upper-level lab course; peer observation noted clear explanations and effective group facilitation. Weakness: limited mentorship of graduate researchers noted in one peer letter.

Research (Exceeds Expectations, 50% weight): 12 publications in peer-reviewed venues; $450K NSF grant as PI; 3 graduate students successfully placed in postdocs. Metrics exceed department median at promotion stage.

Service (Meets Expectations, 25% weight): 2 committee assignments; contributed to departmental hiring; limited external engagement. In line with expectations for pre-tenure faculty.

Overall Recommendation: Recommend promotion to Associate Professor. Dr. Chen meets or exceeds standards in all areas, with particular strength in research productivity and impact.

What's Included

  • SKILL.md instruction file with framework overview and decision logic:
  • Evaluation rubric template: 5-point scale across teaching, research, and service with discipline-specific descriptors
  • Data synthesis worksheet: organized matrix for aggregating peer letters, student evaluations, and metrics
  • Comparative analysis tool: side-by-side candidate evaluation checklist
  • Decision documentation template: structured format for promotion recommendations with evidence citations
  • Discipline-specific guidance: customization notes for STEM, humanities, and social science expectations

Who It's For

  • Deans of Arts & Sciences managing tenure and promotion processes
  • Provosts conducting faculty evaluations across multiple colleges
  • Department chairs coordinating promotion dossier reviews
  • Faculty review committees tasked with evaluating candidate materials
  • HR professionals supporting institutional tenure and promotion compliance

Best For

  • Comprehensive tenure and promotion dossier reviews
  • Synthesizing disparate evaluation data into coherent narratives
  • Comparative analysis of multiple candidates for advancement
  • Documenting promotion decisions for legal defensibility
  • Creating evidence-based recommendations for Faculty Senate review
  • Navigating discipline-specific differences in academic standards

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