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Sensitivity Charts

核心功能:针对指定决策或项目开展敏感度分析,生成变量影响排名、多场景分析、关键发现及风险建议,支持输出龙卷风图与结构化表格。典型场景适用于项目投资、业务决策等风险评估场景。输入为待分析的决策/项目相关信息,输出含变量上下限影响、场景预期值等的分析报告,帮助识别核心敏感变量,支撑科学决策。

linuszz
linuszz
热度 46.58
最近更新 2026-05-11 17:34:43
分类:数据依赖:纯提示词应用场景:数据处理 / 报告撰写 / 财务

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add sensitivity-charts
Metadata
name
sensitivity-charts
description
Visualize how changes in variables affect outcomes. Use for risk analysis and decision support.

Sensitivity Charts

Metadata

  • Name: sensitivity-charts
  • Description: Sensitivity analysis and tornado charts
  • Triggers: sensitivity, tornado chart, what-if, variable impact

Instructions

Perform sensitivity analysis for $ARGUMENTS.

Framework

Tornado Chart

         Base Case: $100M
              │
    ┌─────────┼─────────┐
    │    +$20M│         │-$10M  Price
    ├─────────┼─────────┤
    │   +$15M │         │-$8M   Volume
    ├─────────┼─────────┤
    │    +$8M │         │-$12M  Cost
    ├─────────┼─────────┤
    │    +$5M │         │-$3M   Mix
    └─────────┼─────────┘
              │
              ▼

Variables to Test

Variable Range Impact
Price ±10% High
Volume ±20% High
Cost ±15% Medium
Mix ±5% Low

Output

## Sensitivity Analysis: [Decision/Project]

### Variable Impact Ranking

| Variable | Base | Low Case | High Case | Impact |
|----------|------|----------|-----------|--------|
| Price | $100 | $85 (-15%) | $115 (+15%) | $30M |
| Volume | 1M | 800K | 1.2M | $25M |
| Cost | $50 | $45 | $55 | $20M |
| Mix | 50/50 | 40/60 | 60/40 | $10M |

### Scenario Analysis

| Scenario | NPV | Probability | Expected Value |
|----------|-----|-------------|----------------|
| Base Case | $100M | 50% | $50M |
| Optimistic | $150M | 20% | $30M |
| Pessimistic | $60M | 30% | $18M |
| **Expected** | | | **$98M** |

### Key Findings

1. **Most sensitive**: Price (±$30M impact)
2. **Least sensitive**: Mix (±$10M impact)
3. **Breakeven**: [Analysis]

### Risk Mitigation

1. [Mitigation for most sensitive variable]
2. [Mitigation for second most sensitive]

Tips

  • Focus on top 5-7 variables
  • Use realistic ranges
  • Show both upside and downside