Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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Compare multiple job offers side-by-side with total compensation analysis
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Use this skill when the user:
The Problem: Comparing offers is hard because:
The Solution: Systematic comparison framework that considers:
Cash Compensation:
Equity Compensation:
Benefits Value:
Perks Value:
OFFER A - TOTAL COMPENSATION
CASH
Base Salary: $150,000
Signing Bonus (year 1 only): $25,000
Target Bonus (15%): $22,500
--------------------------------
Cash Compensation: $197,500 (year 1)
$172,500 (ongoing)
EQUITY
RSU Grant: $200,000 over 4 years
Annual Value: $50,000
--------------------------------
Equity Compensation: $50,000/year
BENEFITS
401(k) Match (4%): $6,000
Health Insurance: $15,000 (employer portion)
HSA Contribution: $1,000
--------------------------------
Benefits Value: $22,000/year
PERKS
Vacation: 20 days (vs 10 standard)
Extra 10 days × ~$575/day: $5,750 value
Remote Work Savings: $3,000 (commute, lunch)
Professional Dev: $2,000 budget
--------------------------------
Perks Value: $10,750/year
TOTAL YEAR 1: $280,250
TOTAL ONGOING: $255,250/year
# OFFER COMPARISON
| | Company A | Company B | Notes |
|--------------------------|-----------|-----------|-------|
| **CASH** | | | |
| Base Salary | $150,000 | $160,000 | B +$10K |
| Signing Bonus | $25,000 | $10,000 | A +$15K |
| Target Bonus | 15% | 10% | A +$6.5K |
| **Cash Total (Yr 1)** | $197,500 | $186,000 | A +$11.5K |
| | | | |
| **EQUITY** | | | |
| Grant Value (4yr) | $200,000 | $300,000 | B +$100K |
| Annual Equity | $50,000 | $75,000 | B +$25K |
| | | | |
| **BENEFITS** | | | |
| 401(k) Match | 4% | 6% | B +$3.2K |
| Health Insurance | Good | Premium | B better |
| PTO | 20 days | Unlimited | Varies |
| | | | |
| **TOTAL COMP (Yr 1)** | $280,250 | $285,000 | B +$4.7K |
| **TOTAL COMP (Ongoing)** | $255,250 | $275,000 | B +$19.7K |
Questions to Consider:
Scoring:
Company A: Growth Score
- Learning opportunity: 8/10
- Brand/resume value: 7/10
- Promotion potential: 6/10
- Scope: 8/10
Average: 7.25/10
Company B: Growth Score
- Learning opportunity: 7/10
- Brand/resume value: 9/10
- Promotion potential: 8/10
- Scope: 7/10
Average: 7.75/10
Factors:
Factors:
Startup vs. Established:
Questions:
Factor Weight
------------------------------------
Total Compensation 25%
Career Growth 25%
Work-Life Balance 20%
Team & Culture 20%
Location/Commute 10%
------------------------------------
Total: 100%
Company A Company B
Factor Score (1-10)
------------------------------------
Compensation 7 8
Career Growth 7 8
Work-Life 8 6
Team & Culture 9 7
Location 8 5
Company A:
(7 × 0.25) + (7 × 0.25) + (8 × 0.20) + (9 × 0.20) + (8 × 0.10)
= 1.75 + 1.75 + 1.60 + 1.80 + 0.80
= 7.70
Company B:
(8 × 0.25) + (8 × 0.25) + (6 × 0.20) + (7 × 0.20) + (5 × 0.10)
= 2.00 + 2.00 + 1.20 + 1.40 + 0.50
= 7.10
Result: Company A scores higher (7.70 vs 7.10)
When comparing offers:
# JOB OFFER COMPARISON
## Offers Being Compared
- **Offer A:** [Role] at [Company]
- **Offer B:** [Role] at [Company]
## Total Compensation Comparison
| Component | Offer A | Offer B | Difference |
|-----------|---------|---------|------------|
| Base | $X | $X | |
| Bonus | $X | $X | |
| Equity (annual) | $X | $X | |
| Benefits | $X | $X | |
| **Year 1 Total** | $X | $X | |
| **Ongoing Total** | $X | $X | |
## Non-Monetary Comparison
| Factor | Offer A | Offer B | Notes |
|--------|---------|---------|-------|
| Career Growth | X/10 | X/10 | |
| Work-Life | X/10 | X/10 | |
| Team/Culture | X/10 | X/10 | |
| Risk Level | X/10 | X/10 | |
## Weighted Analysis
Using your priorities:
- Offer A Score: X.XX
- Offer B Score: X.XX
## Key Differences
1. [Key difference 1]
2. [Key difference 2]
3. [Key difference 3]
## Recommendation
Based on your stated priorities of [X, Y, Z], **Offer [A/B]** appears to be the stronger choice because:
- [Reason 1]
- [Reason 2]
- [Reason 3]
## Things to Clarify Before Deciding
- [ ] [Question for Company A]
- [ ] [Question for Company B]
## Negotiation Opportunities
- [Opportunity 1]
- [Opportunity 2]
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Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
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When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
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Format CVs for academic positions with publications, grants, and teaching
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Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.
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Create accessibility testing plans covering assistive technologies and WCAG criteria.
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When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
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