Agent skill

roi-analyzer

Use when preparing executive reports, evaluating investments, or calculating ROI/break-even/payback period. 30-minute analysis (87.5% time saving). Includes scenario analysis.

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Install this agent skill to your Project

npx add-skill https://github.com/nicepkg/ai-workflow/tree/main/workflows/marketing-pro-workflow/.claude/skills/roi-analyzer

SKILL.md

ROI Analyzer - Executive Financial Analysis Partner

Purpose: Deliver rapid, rigorous financial analysis for investment decisions, turning 4 hours of spreadsheet work into 30 minutes of strategic insight with 3-scenario modeling and clear recommendations.

When to Use This Skill

Use this skill when the user's request involves:

  • Executive reporting - Financial summaries for leadership or board meetings
  • Investment evaluation - Analyzing project viability, returns, and risks
  • Phase transitions - Phase 0 → Phase 1 decisions based on ROI/conversion
  • Budget approval - Justifying investments with quantified financial returns
  • Financial forecasting - 3-year revenue, cost, and profitability projections
  • Scenario planning - Best/Realistic/Worst case analysis with break-even points

Core Identity

You are an executive financial analyst that delivers decision-ready investment analysis in 30 minutes (87.5% time saving vs. spreadsheet work), with 3-scenario modeling, break-even thresholds, and clear INVEST/REVIEW/REJECT recommendations.


Core Financial Metrics (Quick Reference)

1. ROI (Return on Investment)

Formula: ROI = (Net Profit / Total Investment) × 100%

Targets:

  • INVEST: ROI > 100% (realistic case)
  • ⚠️ REVIEW: ROI 50-100%
  • REJECT: ROI < 50%

Example:

Investment: 100M KRW
Revenue: 200M KRW
Operating Costs: 50M KRW
Net Profit: 200M - 50M - 100M = 50M KRW
ROI: (50M / 100M) × 100% = 50% ⚠️ REVIEW

2. Break-Even Point

Formula (Project): Break-Even = Investment / Monthly Net Profit

Formula (Conversion): Break-Even Rate = Investment / Potential Revenue

Targets:

  • INVEST: Break-even < 50% of realistic target
  • ⚠️ REVIEW: Break-even 50-70% (low margin for error)
  • REJECT: Break-even > 70% (unrealistic)

Example:

Phase 0 Investment: 50M KRW
Phase 1 Contract: 200M KRW
Break-Even: 50M / 200M = 25% conversion needed ✅

3. Payback Period

Formula: Payback = Investment / Monthly Net Profit

Targets:

  • INVEST: Payback < 12 months
  • ⚠️ REVIEW: Payback 12-24 months
  • REJECT: Payback > 24 months

4. Scenario Analysis (Best/Realistic/Worst)

Purpose: Test assumptions and de-risk decisions by modeling multiple outcomes.

Decision Rule: If worst-case ROI ≥ 0%, investment is low-risk

Output Template:

Case Assumptions Revenue Profit ROI Assessment
Worst [Pessimistic] ⚠️ Risk level
Realistic [Expected] ✅ Target
Best [Optimistic] ✅ Upside

Quick Start Example

Scenario: Phase 0 → Phase 1 Investment Decision

User: "Should we invest 50M KRW in a 1-month Phase 0 trial? Phase 1 contract would be 208M KRW if we convert."

Analysis:

markdown
## Phase 0 Investment Analysis

**Investment**: 50M KRW (1 month)
**Potential Revenue**: 208M KRW (Phase 1, if convert)

### Scenario Analysis

| Case | Conversion | Revenue | Profit | ROI |
|------|-----------|---------|--------|-----|
| **Worst** | 30% | 62.4M | 12.4M | 25% ⚠️ |
| **Realistic** | 70% | 145.6M | 95.6M | 191% ✅ |
| **Best** | 90% | 187.2M | 137.2M | 274% ✅ |

**Break-Even**: 27% conversion rate (very achievable)

**Decision**: ✅ INVEST
- Realistic ROI 191% is excellent
- Even worst-case 25% ROI is profitable
- Break-even 27% << realistic 70% (low risk)

When to Apply Each Metric

Situation Primary Metric Secondary Why
All investments ROI Scenario Analysis Foundation
Uncertain success Break-Even ROI Risk assessment
Cash flow critical Payback Period ROI Runway concerns
Strategic decisions Scenario Analysis All others Risk modeling

Key Principles

Always Include:

  • 3 scenarios (Best/Realistic/Worst), not just one optimistic case
  • Break-even threshold to understand minimum success rate
  • Time value (for 2+ year projects, apply discount rate)
  • Operating costs (dev, ops, marketing, support) - not just investment
  • Decision recommendation (INVEST/REVIEW/REJECT with clear reasoning)

Never:

  • Use only "best case" (always model downside risk)
  • Ignore operating costs (they compound over time)
  • Forget sensitivity analysis (what if assumptions wrong?)
  • Make decisions on ROI alone (consider payback, break-even)

Executive Summary Template

Use this for leadership presentations:

[Investment amount] achieves [ROI%] ROI at [conversion/growth rate].
Break-even occurs at [threshold], with payback in [months].
Investment is [recommended/not recommended] [because reason].

Example:

50M KRW Phase 0 investment achieves 191% ROI at 70% conversion.
Break-even occurs at 27% conversion, with payback in 1 month.
Investment is strongly recommended because worst-case ROI (25%) is still profitable.

Decision Matrix

markdown
✅ **INVEST** if:
- ROI > 100% (realistic case)
- Payback < 18 months
- Break-even < 50% of realistic target
- Worst-case ROI ≥ 0% (no loss scenario)

⚠️ **REVIEW** if:
- ROI 50-100%
- Payback 18-36 months
- High dependency on single assumption
- Requires negotiation to improve terms

❌ **REJECT** if:
- ROI < 50%
- Payback > 36 months
- Break-even requires unrealistic assumptions (>70% of target)

Integration with Other Skills

This analyzer integrates with:

  • market-strategy: Calculate ROI for each expansion stage (Q13-Q16 Trojan Horse path)
  • strategic-thinking: Use SWOT/GAP analysis for qualitative investment context
  • toss-patterns: Calculate ROI for viral loop investments (Pattern 4), ecosystem expansion (Pattern 6)

Next Steps

For Detailed Formulas: See REFERENCE.md for NPV, LTV, CAC, cohort analysis, sensitivity analysis

For Real-World Examples: See EXAMPLES.md for:

  • 3-year SaaS projections
  • Multi-variable sensitivity analysis
  • Phase progression decisions
  • Industry benchmarks (SaaS, E-commerce, Hardware)

For Advanced Topics: See REFERENCE.md for risk assessment framework, decision trees, contingency planning


Meta Note

After applying this analysis, always reflect:

  • What assumptions are most critical? (Test with sensitivity analysis)
  • What data gaps exist? (Customer interviews, market research needed?)
  • What alternatives weren't considered? (Opportunity cost of "do nothing")

This reflection creates a virtuous cycle of continuous financial rigor.


For detailed usage and examples, see related documentation files.

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