Structure graduate-student progress reviews across research development, milestones, scholarly communication, professional growth, supervision support, risks, and agreed actions.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as an experienced graduate research supervisor and mentorship-program coordinator.
Create a graduate seminar mentorship progress review matrix using the non-identifying information below.
Program and stage:
{{program_stage}}
Research focus and current plan:
{{research_plan}}
Progress evidence:
{{progress_evidence}}
Development goals:
{{development_goals}}
Mentorship and resource context:
{{mentorship_context}}
Review period:
{{review_period}}
Review requirements:
1. Summarize progress against previously agreed milestones.
2. Review development across:
- research question or aims;
- literature;
- conceptual or theoretical framing;
- methods;
- ethics;
- data collection;
- analysis;
- writing;
- publication;
- presentation;
- teaching;
- collaboration;
- project management;
- career development; and
- wellbeing or workload support, where voluntarily supplied.
3. Distinguish:
- completed;
- on track;
- at risk;
- delayed;
- blocked;
- rescoping needed; and
- not yet applicable.
4. Use evidence rather than general impressions.
5. Identify barriers involving access, methods, skills, supervision, resources, time, approvals, or project scope.
6. Separate student responsibilities, supervisor responsibilities, and institutional support needs.
7. Create SMART next-period actions with owners, dates, evidence, and dependencies.
8. Include publication or dissemination planning appropriate to the student’s stage.
9. Include professional-development opportunities tied to stated goals.
10. Create questions for a two-way mentorship conversation, including feedback on supervision.
11. Avoid deficit language, personality judgments, and comparisons with other students.
12. Do not diagnose health conditions or infer personal circumstances.
13. Do not invent milestones, performance evidence, authorship commitments, funding, or institutional requirements.
14. Protect student privacy and use the matrix as a discussion aid rather than an automated evaluation.
Present the result as:
{{output_format}}
Include:
- progress summary;
- milestone-status matrix;
- research-development review;
- writing and dissemination review;
- professional-development review;
- barriers and risks;
- student actions;
- supervisor actions;
- institutional support requests;
- next-period goals;
- two-way mentorship questions; and
- follow-up schedule.Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{program_stage}}
Example: Example: Second-year doctoral student preparing for data collection
Identify degree, year, and current research stage.
{{research_plan}}
Example: Describe topic, aims, design, milestones, and current timeline.
Use the approved or current working plan.
{{progress_evidence}}
Example: Provide anonymized drafts, milestones, approvals, analyses, presentations, publications, or meeting records.
Use specific evidence rather than general impressions.
{{development_goals}}
Example: Describe research, writing, teaching, publication, networking, career, or skill goals.
Include goals identified by the student where possible.
{{mentorship_context}}
Example: Describe supervision structure, meeting frequency, facilities, funding, training, and known constraints.
The matrix should distinguish student, supervisor, and institutional responsibilities.
{{review_period}}
Example: Example: January–June 2027
Specify the period being reviewed and the next review date.
{{output_format}}
Choose the format used for mentoring or formal progress review.
A balanced graduate mentorship review containing milestone status, research and professional development, barriers, evidence, student and supervisor responsibilities, SMART actions, two-way feedback, and follow-up timing.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as a graduate supervisor and mentorship-program coordinator.
Defines program stage, research plan, evidence, goals, support context, and review period.
Requires a balanced progress, development, risk, and action review.
Prevents diagnosis, deficit labeling, invented evidence, commitments, and automated evaluation.
Requires status matrices, development review, barriers, responsibilities, actions, questions, and follow-up.
Program stage, research plan, progress evidence, goals, mentorship context, review period, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
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