Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Analyze and red-flag contracts systematically, identifying risks, unfavorable terms, and negotiation opportunities
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Systematically analyze contracts to identify risks, unfavorable clauses, and negotiation opportunities before signing.
Based on legal contract analysis frameworks combined with:
| Claude Does | You Decide |
|---|---|
| Identifies risky clauses | Risk tolerance level |
| Flags unusual terms | What to negotiate |
| Compares to standards | Final accept/reject |
| Suggests alternatives | Business trade-offs |
| Summarizes obligations | Legal counsel needs |
Initial Assessment:
| Element | What to Capture |
|---|---|
| Parties | Who's bound |
| Type | Service, license, partnership |
| Term | Duration, renewal |
| Value | Total commitment |
| Jurisdiction | Governing law |
Clause Risk Matrix:
| Category | Low Risk | Medium Risk | High Risk |
|---|---|---|---|
| Liability | Mutual caps | Uncapped | Unlimited indemnity |
| Term | Monthly | Annual | Multi-year auto-renew |
| Data | Standard DPA | Custom terms | Broad usage rights |
| IP | License only | Work for hire | Assignment |
| Termination | 30-day notice | For cause only | Penalties |
Key Clauses to Review:
Payment Terms:
Liability & Indemnification:
Termination:
IP & Data:
Industry Standards:
| Clause | Typical | Favorable | Unfavorable |
|---|---|---|---|
| Liability cap | 12 mo fees | 24 mo fees | Uncapped |
| Payment | Net 30 | Net 45 | Net 15 |
| Termination | 30 days | 60 days | 90+ days |
| Auto-renewal | 30-day opt-out | 60-day opt-out | 90-day opt-out |
Output Structure:
Input:
Review this SaaS contract summary:
- 3-year term with 90-day auto-renewal notice
- Unlimited liability for data breaches
- Vendor can change pricing with 30-day notice
- Data can be used for "service improvement"
- Termination only for material breach
Output:
## Contract Review: SaaS Vendor Agreement
### Risk Rating: HIGH
---
### Executive Summary
This contract heavily favors the vendor with limited termination rights, uncapped liability exposure for you, and one-sided price increase provisions. Recommend significant negotiation before signing.
---
### Red Flags (Must Address)
| Clause | Issue | Risk | Recommendation |
|--------|-------|------|----------------|
| **Auto-Renewal** | 90-day notice for 3-year contract | Lock-in risk | Reduce to 30-60 days |
| **Pricing** | Vendor can change with 30-day notice | Budget risk | Cap increases at 5%/year or CPI |
| **Termination** | Material breach only | Lock-in risk | Add termination for convenience with notice |
| **Liability** | Unlimited for data breaches | Financial risk | Cap at 24 months of fees |
---
### Yellow Flags (Should Negotiate)
| Clause | Issue | Recommendation |
|--------|-------|----------------|
| **Data Usage** | "Service improvement" is vague | Define scope, exclude training AI |
| **Term Length** | 3 years is long | Request 1-year with renewal option |
| **SLA** | None mentioned | Require 99.9% uptime with credits |
---
### Green Flags (Acceptable)
- Standard confidentiality provisions
- Reasonable IP license terms
- Clear support response times
---
### Recommended Redlines
**Priority 1 (Deal Breakers):**
Section 8.2: Change "90 days" to "30 days" Section 12.1: Add "and termination for convenience with 60 days written notice" Section 14.3: Add "not to exceed 24 months of fees paid under this Agreement"
**Priority 2 (Strongly Preferred):**
Section 5.1: Add "Price increases shall not exceed 5% annually" Section 9.4: Change "service improvement" to "providing and improving the Service for Customer"
---
### Questions for Legal Counsel
1. Is unlimited data breach liability acceptable given our cyber insurance coverage?
2. What's our exposure if we need to exit before term completion?
3. Are there regulatory implications for the data usage clause?
---
### Negotiation Leverage
**Your Position:** First-year customer, significant deal size
**Their Likely Flex:**
- Auto-renewal notice period
- Liability caps
- Pricing caps
**Their Likely Firm:**
- Base term length
- Core data usage rights
Input:
Quick review - key concerns only:
- Unlimited indemnification for IP claims
- 2x annual fees liability cap
- Net 45 payment terms
- 60-day termination notice
- Standard DPA included
Output:
## Quick Risk Assessment
### Overall: MEDIUM RISK
| Clause | Rating | Note |
|--------|--------|------|
| Indemnification | HIGH | Unlimited IP indemnity is risky |
| Liability Cap | GREEN | 2x is standard |
| Payment | GREEN | Net 45 is favorable |
| Termination | GREEN | 60 days is reasonable |
| Data Protection | GREEN | Standard DPA |
### Priority Action
**Address Indemnification:**
- Request mutual cap on IP indemnity
- Propose "lesser of [amount] or 12 months fees"
- Alternative: carve out for willful infringement only
**Everything Else:** Acceptable, proceed if IP indemnity resolved.
Follow-up Prompts:
rfp-response - Creating proposalsnda-generator - Confidentiality agreementsterms-analyzer - Terms of service review아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
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Assess customer account health using product usage, support sentiment, payment status, and relationship signals
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Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
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Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
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Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
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