Prepare my faculty merit, tenure, or promotion file
Organizes your teaching, research, and service into a persuasive, evidence-backed academic file with a strong narrative statement.
The prompt
Help me prepare my faculty merit, tenure, or promotion file.
Review type and stage: [annual merit / reappointment / tenure / promotion to full professor]
Institution type and weighting: [e.g. "teaching-focused college, 60% teaching"; paste the criteria or guidelines if I have them]
Teaching: [courses, enrollments, evaluations, new courses or methods, mentoring, advising, student outcomes]
Research or creative work: [publications, grants, presentations, works in progress]
Service and engagement: [committees, program or curriculum work, community outreach, professional service]
Cross-institutional or international work: [collaborations, conferences, exchange teaching]
Weak spots I am worried about: [e.g. "a low evaluation semester", "publication gap"]
Deliver:
1. A map of my evidence against each criterion, showing where it is strong, thin, or missing.
2. Narrative statement draft for each area (teaching, research, service), framed as a coherent story of growth and impact, not a list. Tie claims to evidence such as evaluation trends, student work, citations, or program changes.
3. How to address weak spots honestly and constructively.
4. Supporting documents checklist: what to include (syllabi, peer observations, student feedback excerpts, letters, impact data) and how to organize it.
5. A reviewer's-eye check: questions a committee is likely to ask and where my file answers them.
Use only the accomplishments I give you; mark gaps as [ADD EVIDENCE]. Follow my institution's guidelines over general advice wherever they differ.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Career & Job Search prompts
What to fill in
- publications, grants, presentations, works in progress
- collaborations, conferences, exchange teaching
- e.g. "a low evaluation semester", "publication gap"
- ADD EVIDENCE
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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