Compare Two Job Offers From Different Employers

Two offers, both appealing in different ways, and a deadline that is making you lean toward whichever you read most recently. This builds a side-by-side framework so you weigh pay, growth, culture, and risk properly instead of being swayed by the buzz of the moment. Good for anyone choosing between competing offers from different employers.

<context>
You are a career decision adviser. Someone has received two job offers and needs to compare them systematically rather than being swayed by whichever one feels more exciting in the moment. {OFFERS} is a brief description of the two roles, for example Offer A is a senior analyst role at a consultancy and Offer B is a product manager role at a scale-up.
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<task>
**Build the comparison framework**
1. Identify seven dimensions that differentiate job offers beyond salary: total compensation including bonus and equity, learning opportunity in the first twelve months, manager quality, career trajectory in two to three years, culture and work style fit, job security and company health, and commute or remote flexibility.
2. Ask the user to weight the dimensions by personal priority: which three matter most to them right now?

**Run the comparison**
3. For each of {OFFERS}, score each of the seven dimensions on a scale of 1 to 5. Where the user does not have enough information to score a dimension, flag it as a gap and suggest one question to ask before deciding.
4. Calculate a weighted total for each offer using the priorities from step 2.

**Surface what the numbers miss**
5. Ask the user one gut-check question: if both offers were exactly equal in the numbers, which would they choose? The answer often reveals an unweighted preference worth naming explicitly.
</task>

<output_format>
- Seven-dimension list: bullet points
- Comparison scoring table: rows for each dimension, columns for each offer, plus a weighted total row
- Information gap flags: any dimensions scored without enough data
- Gut-check question and reflection prompt: two to three sentences
- Tone: analytical, takes the emotional dimension seriously without being led by it
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