关于 forecast-scenarios
forecast-scenarios 是用于收入预测和规划的情景建模技能,适合财务规划、运营及管理层汇报。它通过多组假设、敏感性分析和概率加权,呈现不同结果范围及相应行动。
主要功能
- 01构建乐观、基准和悲观情景
- 02模拟变量变化对收入的影响
- 03分析关键变量敏感度
- 04计算概率加权预期值
- 05为不同情景制定行动
适用场景
- 01制定年度或季度收入计划
- 02准备董事会预测材料
- 03评估战略举措与风险应对
安装
复制下面的命令,在终端中运行。
npx skills add https:/ / github.com/ guia-matthieu/ clawfu-skills --skill forecast-scenarios安装后在 Claude Code 中输入/forecast-scenarios确认已加载。
详细介绍
预测情景建模
通过可变假设创建多个收入情景,为战略规划、董事会演示和风险管理提供支持。
适用场景
- 年度和季度规划
- 董事会会议准备
- 融资预测
- 风险评估和应急规划
- 评估战略举措
方法论基础
基于 McKinsey 情景规划和 FP&A 最佳实践,结合:
- 基准/乐观/悲观情景建模
- 敏感性分析(变量影响)
- 蒙特卡洛概率分布
- 基于驱动因素的预测
Claude 的工作与由你决定的事项
| Claude 的工作 | 由你决定 |
|---|---|
| 构建情景框架 | 假设值 |
| 计算情景结果 | 选择用于规划的情景 |
| 识别关键敏感因素 | 风险承受水平 |
| 建模变量影响 | 战略响应 |
| 展示结果范围 | 最终预测承诺 |
此技能的功能
- 情景定义 - 基准、上行、下行情景
- 变量建模 - 测试假设变化的影响
- 敏感性分析 - 哪些变量最重要
- 概率加权 - 期望值计算
- 行动规划 - 在每种情景下采取什么行动
使用方法
Model revenue scenarios for [Period]:
Current Status:
- YTD Revenue: $X
- Current Pipeline: $X
- Run Rate: $X/month
Key Variables to Model:
- Win rate: [Current: X%, Range: X-X%]
- Average deal size: [Current: $X, Range: $X-$X]
- Sales cycle: [Current: X days, Range: X-X]
- New pipeline creation: [Current: $X/month]
- Churn rate: [Current: X%]
Create best, likely, and worst case scenarios.
说明
步骤 1:定义情景框架
| 情景 | 定义 | 概率 |
|---|---|---|
| 最佳情景(乐观) | 一切顺利 | 15-20% |
| 最可能情景(基准) | 符合现实的预期 | 50-60% |
| 最差情景(悲观) | 面临重大阻力 | 20-25% |
步骤 2:识别关键驱动因素
按对收入的影响为变量排序:
| 驱动因素 | 影响 | 可控性 |
|---|---|---|
| 赢单率 | 高 | 中 |
| 销售管道规模 | 高 | 高 |
| 交易规模 | 中 | 低 |
| 销售周期 | 中 | 中 |
| 流失率 | 中 | 中 |
| 定价 | 低 | 高 |
步骤 3:设定变量范围
为每个驱动因素定义合理范围:
Win Rate:
- Best: 35% (team is hitting stride)
- Likely: 25% (current performance)
- Worst: 18% (market headwinds)
Pipeline:
- Best: $5M (strong marketing)
- Likely: $4M (normal cadence)
- Worst: $2.5M (budget cuts)
步骤 4:计算情景
收入公式(简化):
Quarterly Revenue =
(Pipeline × Win Rate) +
(Expansion Revenue) -
(Churn)
应用于每种情景:
Best Case:
$5M × 35% = $1.75M new + $200K expansion - $50K churn
= $1.9M
Likely Case:
$4M × 25% = $1M new + $150K expansion - $80K churn
= $1.07M
Worst Case:
$2.5M × 18% = $450K new + $100K expansion - $120K churn
= $430K
步骤 5:敏感性分析
测试:“如果 X 变化 10%,会怎样?”
| 变量 | +10% 影响 | -10% 影响 | 敏感度 |
|---|---|---|---|
| 赢单率 | +$100K | -$100K | 高 |
| 销售管道 | +$90K | -$90K | 高 |
| 交易规模 | +$50K | -$50K | 中 |
| 流失 | -$30K | +$30K | 中 |
步骤 6:计算期望值
Expected Revenue =
(Best × Probability) +
(Likely × Probability) +
(Worst × Probability)
= ($1.9M × 20%) + ($1.07M × 55%) + ($430K × 25%)
= $380K + $589K + $108K
= $1.077M
示例
示例 1:季度预测情景
输入:
Model Q2 scenarios:
Current Status:
- Q1 Revenue: $850K
- Q2 Pipeline: $4.2M
- Monthly run rate: $280K
Variables:
- Win rate: Current 24%, Range 18-32%
- Avg deal: Current $45K, Range $38K-$55K
- New monthly pipeline: Current $800K, Range $500K-$1.2M
- Monthly churn: Current $25K, Range $15K-$40K
- Expansion: Current $50K/month, Range $30K-$80K
输出:
## Q2 Revenue Scenario Model
### Scenario Definitions
| Scenario | Probability | Description |
|----------|-------------|-------------|
| 🐂 Bull | 20% | Strong execution, market tailwinds |
| 📊 Base | 55% | Continue current trajectory |
| 🐻 Bear | 25% | Market slowdown, execution challenges |
### Variable Assumptions
| Variable | Bear | Base | Bull |
|----------|------|------|------|
| Starting Pipeline | $4.2M | $4.2M | $4.2M |
| Win Rate | 18% | 24% | 32% |
| Avg Deal Size | $38K | $45K | $55K |
| New Pipeline/mo | $500K | $800K | $1.2M |
| Monthly Churn | $40K | $25K | $15K |
| Expansion/mo | $30K | $50K | $80K |
### Q2 Revenue Calculations
#### 🐂 Bull Case: $1.42M
起始销售管道收入: $4.2M × 32% = $1.34M
交易规模调整: $1.34M × ($55K/$45K) = $1.64M 有效值
新增销售管道(Q2): $1.2M × 3 个月 × 32% × 50%(部分成交)= $576K
扩张: $80K × 3 = $240K
流失: -$15K × 3 = -$45K
乐观情景总计:$1.64M(现有)+ $576K(新增)+ $240K(扩张)- $45K(流失) 按 Q2 阶段加权:$1.42M
#### 📊 Base Case: $980K
起始销售管道收入: $4.2M × 24% = $1.01M
新增销售管道(部分成交): $800K × 3 × 24% × 50% = $288K
扩张:$150K 流失:-$75K
基准情景总计:$1.01M × 0.9(时间调整)+ $150K - $75K = $980K
#### 🐻 Bear Case: $580K
起始销售管道收入: $4.2M × 18% = $756K × 0.85(交易延期) = $643K
新增销售管道:$500K × 3 × 18% × 40% = $108K 扩张:$90K 流失:-$120K
悲观情景总计:$580K
### Scenario Summary
| Scenario | Revenue | vs Q1 | Growth |
|----------|---------|-------|--------|
| 🐂 Bull | $1.42M | +$570K | +67% |
| 📊 Base | $980K | +$130K | +15% |
| 🐻 Bear | $580K | -$270K | -32% |
### Expected Value
E(收入) = ($1.42M × 0.20) + ($980K × 0.55) + ($580K × 0.25) = $284K + $539K + $145K = $968K
**Recommended Forecast: $950K - $1.0M**
### Sensitivity Analysis
| If This Changes... | Revenue Impact |
|--------------------|----------------|
| Win rate +5% | +$210K |
| Win rate -5% | -$210K |
| Pipeline +$500K | +$120K |
| Deal size +$5K | +$80K |
| Churn +$10K/mo | -$30K |
**Highest Sensitivity**: Win rate (focus on deal execution)
### Scenario Action Plans
**If Trending Bull:**
- Accelerate hiring plan
- Increase marketing spend
- Prepare for capacity constraints
**If Trending Base:**
- Stay the course
- Focus on execution
- Build pipeline for Q3
**If Trending Bear:**
- Tighten expense controls
- Extend runway calculations
- Double down on existing customers
- Consider discounting to close deals
示例 2:年度规划情景
输入:
Model 2026 annual scenarios for board:
2025 Results:
- Revenue: $4.2M
- Customers: 85
- ARR Growth: 45%
- NRR: 110%
2026 Planning Variables:
- New customer target: 40-80 new customers
- ACV range: $40K-$60K
- NRR range: 105%-120%
- Churn range: 5%-12%
输出:
## 2026 Annual Revenue Scenarios
### For Board Review
---
### Scenario Summary
| Metric | Bear | Base | Bull |
|--------|------|------|------|
| New Customers | 40 | 60 | 80 |
| New ACV | $40K | $50K | $60K |
| New ARR | $1.6M | $3.0M | $4.8M |
| NRR | 105% | 112% | 120% |
| Existing Base | $4.41M | $4.70M | $5.04M |
| **Total ARR** | **$6.0M** | **$7.7M** | **$9.8M** |
| **Growth** | **43%** | **83%** | **133%** |
### Detailed Calculations
#### 🐻 Bear Case: $6.0M ARR (+43%)
**Assumptions:**
- Conservative new sales (40 customers)
- Lower ACV ($40K avg)
- NRR dips (105%)
- Higher churn (10%)
现有客户群: $4.2M × 105% NRR = $4.41M
新客户收入: 40 个客户 × $40K = $1.6M
总计:$6.0M
**When This Happens:**
- Market downturn
- Sales execution issues
- Product-market fit challenges
- Key competitor gains ground
---
#### 📊 Base Case: $7.7M ARR (+83%)
**Assumptions:**
- Target new sales (60 customers)
- Target ACV ($50K)
- Maintain NRR (112%)
- Normal churn (7%)
现有客户群: $4.2M × 112% NRR = $4.70M
新客户收入: 60 个客户 × $50K = $3.0M
总计:$7.7M
**This Is Likely If:**
- Execute at current pace
- Market conditions stable
- Product roadmap delivers
- Team retention healthy
---
#### 🐂 Bull Case: $9.8M ARR (+133%)
**Assumptions:**
- Exceed targets (80 customers)
- Premium ACV ($60K)
- Strong NRR (120%)
- Low churn (5%)
现有客户群: $4.2M × 120% NRR = $5.04M
新客户收入: 80 个客户 × $60K = $4.8M
总计:$9.8M
**Required For This:**
- Strong product releases
- Successful enterprise push
- Favorable market timing
- Key hires perform
---
### Expected Value & Recommendation
E(ARR) = ($6.0M × 0.20) + ($7.7M × 0.55) + ($9.8M × 0.25) = $1.2M + $4.24M + $2.45M = $7.89M
### Board Recommendation
**Target: $7.5M ARR** (+79% growth)
| Metric | Target | Confidence |
|--------|--------|------------|
| New Customers | 55-60 | Medium-High |
| New ARR | $2.75M | Medium |
| NRR | 110%+ | High |
| Total ARR | $7.5M | Medium |
### Key Risks & Mitigations
| Risk | Impact | Mitigation |
|------|--------|------------|
| Sales hiring delays | -$1M | Recruit pipeline now |
| Enterprise deals push | -$800K | Parallel SMB motion |
| Key customer churn | -$500K | CSM investment |
| Competitor pricing | -$600K | Value selling training |
### Monthly Checkpoints
| Month | Bear | Base | Bull |
|-------|------|------|------|
| Q1 End | $4.8M | $5.2M | $5.8M |
| Q2 End | $5.3M | $6.2M | $7.4M |
| Q3 End | $5.6M | $7.0M | $8.6M |
| Q4 End | $6.0M | $7.7M | $9.8M |
Track monthly and adjust Q3 if trending to Bear.
技能边界
此技能擅长的方面
- 构建情景框架
- 根据假设计算结果
- 识别关键敏感因素
- 展示各种可能性
此技能无法做到的方面
- 预测哪种情景会发生
- 了解你的具体业务动态
- 将黑天鹅事件纳入考量
- 替代对概率的专家判断
需要交由人工处理的情况
- 制定正式目标
- 董事会/投资者承诺
- 重大战略转型
- 需要领域专业知识的假设
迭代指南
后续提示词
- “达到基准情景需要多少赢单率?”
- “展示每种情景下的月度收入走势。”
- “如果失去最大客户,加入一个‘灾难性’情景。”
- “概率加权预测是多少?”
情景规划周期
- 设定变量和范围
- 计算情景
- 识别早期预警信号
- 定义行动触发点
- 每月根据实际情况进行审查
检查清单和模板
年度规划模板
## [Year] Revenue Scenarios
### Scenarios
| Case | Revenue | Growth | Probability |
|------|---------|--------|-------------|
| Bull | | | 20% |
| Base | | | 55% |
| Bear | | | 25% |
### Key Assumptions
| Variable | Bear | Base | Bull |
|----------|------|------|------|
### Sensitivity Analysis
| Variable | Impact per 10% |
|----------|----------------|
### Risk Register
| Risk | Scenario Impact | Mitigation |
|------|-----------------|------------|
参考资料
- McKinsey 情景规划指南
- FP&A 预测最佳实践
- SaaS 指标与财务建模
- CFO.com 收入预测
相关技能
pipeline-forecasting- 为情景模型提供输入lead-scoring- 为销售管道假设提供输入account-health- NRR/客户流失输入
技能元数据
- 领域:RevOps
- 复杂度:高级
- 模式:centaur
- 见效时间:完整模型需 60-90 分钟
- 前置条件:历史数据、变量假设