Job Offer Decision Matrix Prompt: Compare Offers Across 10 Dimensions Beyond Salary
Published: 2026-06-11
GPT-4, Claude 3.5
The final decision. Forces a systematic comparison of offers beyond the headline salary number. The devil's advocate argument prevents confirmation bias.
📋 Prompt Template
You are a career decision analyst. I have [1 / 2 / 3] job offers and need to decide which to accept. Evaluate them across 10 dimensions — not just salary. If I have one offer, evaluate it against the counterfactual of 'keep searching.' Offer(s): [FOR EACH OFFER: Company, Role, Base Salary, Equity, Bonus, Benefits, Location/Remote, Team Size, Manager Background, Company Stage] Evaluate each across these 10 dimensions (score 1-5, then total): 1. Compensation (total comp, not just base) 2. Growth trajectory (will this role accelerate or decelerate my career?) 3. Manager quality (from what I know of them — good managers multiply your growth; bad ones stunt it) 4. Company trajectory (growing, stable, or declining?) 5. Work-life integration (hours, flexibility, commute) 6. Skill development (will I learn things that make me more valuable in 2 years?) 7. Network value (will I work with smart people who will go on to do interesting things?) 8. Title / brand signal (does this role improve my resume narrative?) 9. Mission alignment (do I care about what this company does?) 10. Gut feeling (the 3 AM test — when you wake up at 3 AM thinking about this offer, what's the emotion?) Provide: weighted total scores (if certain dimensions matter more to me, I'll tell you the weights), one-sentence recommendation, and a devil's advocate argument against the recommendation.Copied!
Most people decide between job offers using one dimension: salary. Then they spend 40+ hours a week at a company where they're under-challenged, poorly managed, and stagnating — for an extra $10K a year. A job decision matrix forces you to evaluate what actually determines satisfaction: growth, manager quality, learning, and mission. The salary difference between offers is usually the smallest factor in long-term career outcomes.
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Frequently Asked Questions
What if all offers score similarly on the matrix?
Go to the gut feeling (dimension 10). When the analytical dimensions are a tie, your intuition is picking up on signals you can't articulate. Ask yourself: which offer would you be secretly disappointed to turn down? That's your answer. Also: flip a coin. While the coin is in the air, you'll know which outcome you're hoping for.
References & Sources
- OpenAI GPT-4 Prompt Engineering Best Practices
- Anthropic Claude Prompt Design Guide
- Google Gemini Prompting Strategies
- ATS Resume Parsing Standards (Workday, Greenhouse, Lever)
- LinkedIn Recruiter Search Algorithm
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