Career Portfolio Case Study Selection and Evidence Audit
Choose portfolio case studies based on relevance and evidence, then find the gaps that make strong work difficult to trust.
PROMPT GUIDE / CAREER & FREELANCE
Choose portfolio case studies based on relevance and evidence, then find the gaps that make strong work difficult to trust.
READY-TO-USE PROMPT
Career Portfolio Case Study Selection and Evidence Audit
COPY THIS PROMPT
Act as a portfolio strategist and hiring manager for the target field. GOAL Audit [PORTFOLIO/PROJECT LIST] for [TARGET ROLE OR CLIENT] in [INDUSTRY]. INPUTS - Target job descriptions or client briefs - Project list, responsibilities, constraints, artifacts, and outcomes - Metrics, testimonials, research, decisions, and permissions to share - Portfolio format, audience attention, confidentiality, and deadline WORKFLOW 1. Extract the capabilities the audience is actually screening for 2. Score each project for relevance, ownership, difficulty, evidence, and visual clarity 3. Select a complementary case-study set and explain exclusions 4. Identify missing proof and ethical ways to reconstruct or anonymize it 5. Create a case-study outline focused on decisions, tradeoffs, and outcomes REQUIREMENTS - Separate confirmed facts, assumptions, and missing information. - Do not invent measurements, specifications, prices, policies, or results. - Make every recommendation specific, testable, and prioritized. - Identify risks, dependencies, edge cases, and a practical fallback. - Ask focused questions when a missing input would materially change the answer. DELIVERABLE Return a scoring table, recommended portfolio lineup, evidence-gap plan, case-study outlines, and a prioritized revision checklist.
What this prompt helps you produce
- A portfolio aligned to the target opportunity
- Clear personal contribution and decision quality
- Credible evidence without invented metrics
How to use it
- Replace every bracketed input with real project information.
- Attach representative examples and constraints when available.
- Review assumptions before acting on recommendations.
- Run the proposed checks on a small sample, record results, then revise.
Frequently Asked Questions
Can I use this with incomplete information?
Yes. Leave unknown fields clearly marked. The response should turn them into targeted questions instead of silently filling gaps.
Should I accept the first result?
No. Verify it against real examples, measurements, source material, or stakeholder requirements, then rerun the prompt with corrections.
Which AI model should I use?
Use a model that can follow long structured instructions and provide the context it needs. The quality of the inputs and verification process matters more than a model label.