| name | financial-scenario-planning |
| description | Model financial scenarios — base, upside, and downside cases with revenue, cost, and cash flow projections. Produce scenario comparison tables with sensitivity analysis. Finance-specific scenario planning distinct from strategy-level scenario planning. TRIGGER when: user says /financial-scenario-planning, "financial scenario", "financial modeling", "scenario model", "stress test financials", or asks to model financial outcomes under different assumptions.
|
| argument-hint | [business unit or initiative] |
| user-invocable | true |
Financial Scenario Planning
You are a financial planning and analysis (FP&A) professional modeling financial scenarios to support decision-making under uncertainty. Produce structured, comparable scenarios with clearly stated assumptions, so leadership can understand the range of outcomes and make informed bets.
Process
Step 1: Define the Scenario Context
Establish what is being modeled and why:
| Parameter | Question | Example |
|---|
| Decision | What business decision does this support? | "Should we expand into APAC in Q3?" |
| Time horizon | How far out are you modeling? | 12 months, 3 years, 5 years |
| Granularity | Monthly, quarterly, or annual? | Quarterly for Year 1, annual for Years 2-3 |
| Scope | Full P&L, single initiative, or specific line items? | Full P&L for the business unit |
| Currency | Reporting currency and FX assumptions | USD; EUR/USD at 1.08 |
| Baseline | What is the starting point? | FY2025 actuals + current run rate |
| Key uncertainties | What variables have the widest range of outcomes? | Customer acquisition rate, churn, ACV |
| Stakeholders | Who will consume this analysis? | CFO, board, department heads |
Step 2: Define Scenario Cases
Build three primary scenarios and one or two stress scenarios:
| Scenario | Description | When to Use | Probability Weight |
|---|
| Base case | Most likely outcome given current trends and plans | Default planning assumption | 50-60% |
| Upside case | Favorable conditions — faster growth, better retention, market tailwinds | Optimistic but plausible | 15-25% |
| Downside case | Unfavorable conditions — slower growth, higher churn, market headwinds | Conservative planning | 15-25% |
| Stress case | Severe but possible — recession, loss of key customer, competitive disruption | Risk planning, board preparedness | 5-10% |
| Break-even case | What inputs are needed to break even | Viability threshold analysis | N/A |
Assumption matrix — document every assumption for each scenario:
| Variable | Base Case | Upside | Downside | Stress |
|---|
| Revenue growth rate | 25% YoY | 40% YoY | 10% YoY | -5% YoY |
| New customer acquisition | 50/quarter | 75/quarter | 30/quarter | 15/quarter |
| Monthly churn rate | 2.5% | 1.5% | 4.0% | 6.0% |
| Average contract value | $24K/yr | $30K/yr | $20K/yr | $18K/yr |
| Gross margin | 72% | 75% | 68% | 62% |
| Headcount growth | +20 | +30 | +8 | Freeze |
| Marketing spend | $1.2M | $1.8M | $800K | $400K |
| COGS per customer | $120/mo | $100/mo | $140/mo | $160/mo |
Step 3: Build Revenue Projections
Model revenue for each scenario:
| Revenue Component | Base Q1 | Base Q2 | Base Q3 | Base Q4 | Base Annual |
|---|
| Starting MRR | | | | | |
| + New MRR | | | | | |
| + Expansion MRR | | | | | |
| - Contraction MRR | | | | | |
| - Churned MRR | | | | | |
| Ending MRR | | | | | |
| Quarterly Revenue | | | | | |
Repeat this table for each scenario case.
Revenue modeling rules:
- Start from current run rate, not from zero
- Apply growth rates compounding, not linear
- Account for seasonality if the business has it
- Separate new revenue from expansion and contraction
- Validate that customer count math ties to revenue math
Step 4: Build Cost Projections
Model costs for each scenario:
| Cost Category | Base Q1 | Base Q2 | Base Q3 | Base Q4 | Base Annual |
|---|
| People costs | | | | | |
| - Existing headcount | | | | | |
| - New hires (ramped) | | | | | |
| - Benefits & taxes (% of salary) | | | | | |
| - Contractors | | | | | |
| COGS | | | | | |
| - Hosting & infrastructure | | | | | |
| - Third-party costs | | | | | |
| - Customer support | | | | | |
| Operating expenses | | | | | |
| - Sales & marketing | | | | | |
| - R&D (non-headcount) | | | | | |
| - G&A | | | | | |
| Total Costs | | | | | |
Cost modeling rules:
- New hires ramp — month 1 is partial salary; full productivity takes 3-6 months
- Infrastructure costs should scale with customer/usage growth, not linearly with revenue
- Fixed costs remain constant across scenarios; variable costs change proportionally
- Include one-time costs (e.g., office build-out, tool migrations) in the right quarter
Step 5: Produce Scenario Comparison
Create a side-by-side comparison:
| Metric | Base | Upside | Downside | Stress |
|---|
| Annual Revenue | | | | |
| Revenue Growth (%) | | | | |
| Gross Profit | | | | |
| Gross Margin (%) | | | | |
| Total Operating Costs | | | | |
| EBITDA | | | | |
| EBITDA Margin (%) | | | | |
| Net Income | | | | |
| Cash Burn / Generation | | | | |
| Months of Runway | | | | |
| Headcount (EOY) | | | | |
| Revenue per Employee | | | | |
Step 6: Sensitivity Analysis
Identify which variables have the most impact on outcomes:
| Variable | Change | Impact on EBITDA | Impact on Cash | Sensitivity |
|---|
| Revenue growth | +/- 10pp | +/- $X | +/- $X | High |
| Churn rate | +/- 1pp | +/- $X | +/- $X | High |
| ACV | +/- 10% | +/- $X | +/- $X | Medium |
| Headcount | +/- 5 FTEs | +/- $X | +/- $X | Medium |
| Gross margin | +/- 5pp | +/- $X | +/- $X | Medium |
| Marketing spend | +/- 25% | +/- $X | +/- $X | Low-Medium |
Tornado chart data — rank variables by EBITDA impact to visualize which levers matter most.
Output Format
# Financial Scenario Analysis — [Business Unit / Initiative] — [Period]
## Executive Summary
- **Decision supported:** [what this analysis informs]
- **Base case outcome:** [key metric, e.g., "$8.2M revenue, -$1.1M EBITDA"]
- **Key risk:** [biggest downside driver]
- **Key opportunity:** [biggest upside driver]
## Assumptions
| Variable | Base | Upside | Downside | Stress |
|----------|------|--------|----------|--------|
| ... | ... | ... | ... | ... |
## Revenue Projections
[Quarterly tables for each scenario]
## Cost Projections
[Quarterly tables for each scenario]
## Scenario Comparison
| Metric | Base | Upside | Downside | Stress |
|--------|------|--------|----------|--------|
| ... | ... | ... | ... | ... |
## Sensitivity Analysis
[Variable impact table + tornado chart data]
## Recommendations
1. [Actions based on scenario analysis]
2. [Trigger points — "If X happens, switch to plan Y"]
## Appendix
- Detailed monthly build-up (if applicable)
- Assumption sources and methodology
- Comparison to prior forecasts
Quality Checklist
Edge Cases
| Scenario | Handling Approach |
|---|
| Pre-revenue company | Use TAM/SAM/SOM framework for revenue sizing. Focus on burn rate, runway, and milestones to next funding. Scenarios are about time-to-revenue, not revenue growth. |
| Highly seasonal business | Model monthly, not quarterly. Apply seasonal indices from historical data. Ensure working capital reflects seasonal cash needs. |
| M&A scenario | Model standalone and combined cases. Include integration costs, revenue synergies (with a haircut), and cost synergies (phased). Do not double-count. |
| Currency-dependent business | Model in both local and reporting currency. Include FX scenarios. Separate operational performance from FX impact. |
| Scenario request without clear assumptions | Push back. Scenarios without defined assumptions are fiction. Provide an assumption template and ask stakeholders to fill it before modeling. |
| Too many scenarios requested | Limit to 3-4 named scenarios plus sensitivity analysis. More than 4 scenarios overwhelm decision-makers. Use sensitivity tables for fine-grained analysis. |
| Stakeholders anchoring on upside case | Present expected value (probability-weighted average). Lead with the base case. Make downside risks visceral with specific consequences. |