Offer Analysis

/offer-analysis

Usage

/offer-analysis <paste offer details>
/offer-analysis I got an offer from Stripe: $180k base, 50k RSUs...
/offer-analysis compare Stripe vs Google offers

How It Works

┌─────────────────────────────────────────────────────────┐
│                   OFFER ANALYSIS                          │
├─────────────────────────────────────────────────────────┤
│  SINGLE OFFER → Evaluate                                 │
│  - Break down total comp (Y1, Y2, 4-year)               │
│  - Compare to market data                                │
│  - Recommend: accept / negotiate / walk                  │
│                                                          │
│  MULTIPLE OFFERS → Compare                               │
│  - Side-by-side table + weighted scoring                 │
│  - Best/risk/ceiling analysis per offer                  │
│  - "What you'll regret" for each option                  │
└─────────────────────────────────────────────────────────┘

Inputs

• Offer details (from user — base, equity, sign-on, benefits, etc.)
• Company and role (one or more)
• knowledge/profile.md — seniority context
• knowledge/negotiation/strategy.md — comp preferences and priorities
• If available: output/[company]/offer-analysis.md for prior evaluations

Part 1: Single Offer Evaluation

1. Offer Breakdown

Total comp: Year 1 | Year 2 | 4-year total

2. Market Comparison

How this compares to market for role/level/location. Cite sources (levels.fyi, Glassdoor, Blind). Verdict: Below / At / Above Market.

3. Candidate Alignment

How this maps to priorities from knowledge/negotiation/strategy.md. Does it meet the walk-away threshold?

4. What's Negotiable

What to push on, what to accept, in what order.

5. Recommendation

Accept as-is / Negotiate specific items / Strong negotiate / Walk away — with reasoning.

Part 2: Multi-Offer Comparison (if 2+ offers)

6. Side-by-Side Comparison

7. Weighted Score (using candidate priorities)

8. Qualitative Analysis

For each: best case, risk case, growth ceiling.

9. Decision Framework

Recommendation by priority lens (comp vs growth vs balance).

10. What You'll Regret

For each option — the thing you might regret in a year.

Output Format

## Offer Analysis: [Company] — [Role]

### Breakdown
| Component | Amount | Notes |
|-----------|--------|-------|
| Base | $X | |
| Equity | $X | 4yr vest, 1yr cliff |
| ... | | |
| **Total Y1** | **$X** | |

### Market Comparison
**Verdict:** At Market
[Reasoning with data sources]

### Alignment with Your Priorities
1. [Priority]: ✅ Met / ⚠️ Partial / ❌ Missing
2. ...

### What's Negotiable
1. [Component] — [typical room at this company]

### Recommendation: **Negotiate specific items**
[One paragraph reasoning]

If Something Goes Wrong

• Incomplete offer details: Ask for what's missing — "What's the equity/bonus structure?"
• Can't find market data: Note the limitation. Provide ranges based on available data.
• User has unrealistic expectations: Flag it honestly — "Market for this role/level is $X-Y."
• Exploding offer (short deadline): Flag the deadline prominently. Draft a time-extension request: grateful tone, specific reason ("finalizing another process"), propose a concrete new date. Note: most deadlines are negotiable by 3-7 days.

After Output

• "Track this offer? /pipeline-status update [company] offer"
• "Want to negotiate? /negotiate for counter-offer strategy and scripts"
• "Need more company context? /company-research [company]"
• "Ready to decide? Tell me which one and I'll help you respond"
• "Ready to accept? Tell me and I'll draft your acceptance message"

Rules

• Don't just compare numbers — compare trajectories
• Never fabricate market data — cite sources
• Respect the candidate's stated priorities, don't impose your own
• Be honest if an offer is genuinely strong — or genuinely weak
• Flag if expectations are unrealistic for the market