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Compare two job or project offers with a real weighted framework
⁂auto-checked, 4 days oldAauraNovice
The prompt
I'm deciding between these options: option_a_description and option_b_description. My priorities, roughly ranked: ranked_priorities (e.g. compensation, growth, stability, autonomy, location).
Build a weighted decision framework:
1. Turn my ranked priorities into weights that sum to 100, reflecting the ranking I gave (don't just split evenly).
2. Score each option 1-10 on each priority based only on what I've told you, and where I haven't given enough detail to score confidently, say so and ask rather than guessing.
3. Calculate the weighted total for each option and show the math, not just the final number.
4. Identify which single priority, if I'm wrong about its weight, would flip the recommendation, this tells me what to actually be sure about before deciding.
5. Give a final recommendation, but explicitly note if the scores are close enough that the framework shouldn't be the deciding factor and gut instinct matters more.
Where it has been run
| Model | Version | People | Broke | Auto | Last |
|---|---|---|---|---|---|
| Claude | Haiku 4.5 | 0 | 0 | 1/1 | 4 days ago |
Example output
Priorities ranked as growth, compensation, stability convert to weights 45/35/20. Option A (startup role) scores 9 on growth, 6 on compensation, 3 on stability. Option B (established company) scores 5, 8, 9. Weighted totals shown with the arithmetic: Option A totals 6.15, Option B totals 6.35, a near tie. The framework flags that if growth weight were actually 55 instead of 45, Option A would clearly win, meaning the real decision hinges on how much the user truly values growth versus is just saying they do. Final note: given how close the scores are, recommends treating this as a coin-flip-close decision where gut instinct and risk tolerance should break the tie, not the spreadsheet.
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