financial-scenario-planner

name	financial-scenario-planner
description	Stress-test financial plans across scenarios (bull/bear/base), sensitivity tables, and Monte Carlo-style analysis. Use when evaluating financial assumptions, modeling risk scenarios, or building scenario-based financial plans.

Financial Scenario Planner

Frameworks for building multi-scenario financial models, stress testing assumptions, sensitivity analysis, and probability-weighted financial planning.

Scenario Analysis Framework

Three-Scenario Model

SCENARIO PLANNING TEMPLATE:

                    BEAR CASE        BASE CASE        BULL CASE
                    (Pessimistic)    (Expected)       (Optimistic)
Probability:        20-25%           50-60%           20-25%

REVENUE ASSUMPTIONS:
  Growth rate:      [X%]             [X%]             [X%]
  New customers:    [N]              [N]              [N]
  Churn rate:       [X%]             [X%]             [X%]
  ARPU change:      [X%]             [X%]             [X%]
  Market size:      [$ ]             [$ ]             [$ ]

COST ASSUMPTIONS:
  COGS margin:      [X%]             [X%]             [X%]
  Headcount growth: [N]              [N]              [N]
  Salary inflation: [X%]             [X%]             [X%]
  Marketing spend:  [$ ]             [$ ]             [$ ]
  Capex:            [$ ]             [$ ]             [$ ]

EXTERNAL FACTORS:
  Interest rates:   [X%]             [X%]             [X%]
  Inflation:        [X%]             [X%]             [X%]
  FX rates:         [X ]             [X ]             [X ]
  Regulatory:       [Impact]         [Impact]         [Impact]

PROJECTED OUTCOMES:
  Revenue:          [$ ]             [$ ]             [$ ]
  EBITDA:           [$ ]             [$ ]             [$ ]
  Net income:       [$ ]             [$ ]             [$ ]
  Cash position:    [$ ]             [$ ]             [$ ]
  Runway (months):  [N]              [N]              [N]

EXPECTED VALUE:
  E[Revenue] = P(bear) x Rev(bear) + P(base) x Rev(base) + P(bull) x Rev(bull)

Scenario Trigger Events

Scenario Driver	Bear Trigger	Base Assumption	Bull Trigger
Market demand	Recession, -15%	Steady growth, +5%	Market expansion, +20%
Competition	New entrant takes 20% share	Stable competition	Competitor exits market
Regulation	Restrictive new regulation	Status quo	Deregulation/favorable policy
Technology	Disruption makes product obsolete	Incremental improvement	Breakthrough advantage
Funding	Cannot raise next round	Raise at expected terms	Oversubscribed round
Key personnel	Lose critical team members	Normal retention	Key strategic hires

Sensitivity Analysis

One-Variable Sensitivity Table

REVENUE SENSITIVITY TO PRICE CHANGE:

Price Change:     -20%    -10%    Base    +10%    +20%
Volume Impact:    +10%    +5%     Base    -3%     -8%
Revenue:          [$ ]    [$ ]    [$ ]    [$ ]    [$ ]
Gross Profit:     [$ ]    [$ ]    [$ ]    [$ ]    [$ ]
Net Income:       [$ ]    [$ ]    [$ ]    [$ ]    [$ ]

Two-Variable Sensitivity (Tornado Chart Data)

TORNADO CHART DATA — NET INCOME SENSITIVITY:

Variable            | Low Value | High Value | Low Impact  | High Impact
Revenue growth      | 5%        | 25%        | -$500K      | +$800K
Customer churn      | 8%        | 2%         | -$400K      | +$300K
COGS margin         | 45%       | 35%        | -$350K      | +$350K
Headcount           | +15       | +5         | -$300K      | +$200K
Interest rates      | 7%        | 4%         | -$150K      | +$100K
FX rates            | -10%      | +5%        | -$120K      | +$60K

INTERPRETATION:
  - Revenue growth has the highest impact on outcomes
  - Focus risk mitigation on top 3 variables
  - Variables below $100K impact are noise

Break-Even Analysis

BREAK-EVEN CALCULATOR:

FIXED COSTS (Monthly):
  Salaries:           $______
  Rent/facilities:    $______
  SaaS/tools:         $______
  Insurance:          $______
  Other fixed:        $______
  TOTAL FIXED:        $______

VARIABLE COSTS (per unit):
  COGS:               $______
  Commission:         $______
  Payment processing: $______
  Support cost:       $______
  TOTAL VARIABLE:     $______

PRICING:
  Average selling price: $______
  Contribution margin:   $______ (price - variable cost)
  Contribution %:        _____%

BREAK-EVEN:
  Units:  Fixed costs / Contribution margin = _____ units
  Revenue: Fixed costs / Contribution % = $______

MONTHS TO BREAK-EVEN:
  At current growth rate: _____ months
  At optimistic rate:     _____ months
  At pessimistic rate:    _____ months

Monte Carlo Simulation Design

Simulation Framework

MONTE CARLO SETUP:

STEP 1: IDENTIFY VARIABLES
  List all uncertain inputs that affect the outcome.
  For each variable, define:
    - Distribution type (normal, uniform, triangular, lognormal)
    - Parameters (mean, std dev, min, max)

STEP 2: DEFINE DISTRIBUTIONS
  Revenue growth:   Normal(mean=15%, std=5%)
  Customer churn:   Triangular(min=2%, mode=5%, max=12%)
  COGS margin:      Uniform(min=30%, max=45%)
  Headcount growth: Discrete([5, 8, 10, 12, 15], probs=[0.1, 0.2, 0.4, 0.2, 0.1])

STEP 3: RUN SIMULATIONS
  Iterations: 10,000 (minimum for stable results)
  For each iteration:
    1. Sample random value from each distribution
    2. Calculate outcome (revenue, profit, cash flow)
    3. Store result

STEP 4: ANALYZE RESULTS
  Mean outcome:           $______
  Median outcome:         $______
  Standard deviation:     $______
  5th percentile (VaR):   $______ (worst 5% of outcomes)
  95th percentile:        $______ (best 5% of outcomes)
  Probability of loss:    _____%
  Probability of target:  _____%

STEP 5: INTERPRET
  "There is a 90% probability that net income will fall between
   $______ and $______, with an expected value of $______."

Distribution Selection Guide

Variable Type	Recommended Distribution	Parameters	When to Use
Growth rate	Normal	Mean, Std Dev	Symmetric uncertainty
Market size	Lognormal	Mean, Std Dev	Right-skewed, can't be negative
Project cost	Triangular	Min, Mode, Max	Expert estimates with bounds
Binary events	Bernoulli	Probability	Will/won't happen (regulation, deal)
Time to event	Exponential	Rate	Customer lifetime, time to churn
Counts	Poisson	Rate	Number of events in a period

Cash Flow Stress Testing

Runway Calculator

CASH RUNWAY ANALYSIS:

Current cash:           $______
Monthly burn rate:      $______
Monthly revenue:        $______
Net monthly cash flow:  $______ (revenue - burn)

SCENARIO RUNWAYS:
  Current trajectory:   ______ months
  If revenue drops 20%: ______ months
  If revenue drops 50%: ______ months
  If revenue goes to 0: ______ months (pure burn runway)

TRIGGER POINTS:
  6-month runway remaining: Begin fundraise / cut costs
  3-month runway remaining: Emergency cost reduction
  1-month runway remaining: Wind-down planning

COST REDUCTION LEVERS (by impact):
  Lever                    | Monthly Savings | Feasibility
  Freeze hiring            | $______         | High
  Reduce marketing 50%     | $______         | Medium
  Renegotiate vendor terms  | $______         | Medium
  Reduce headcount 10%     | $______         | Low (last resort)
  Eliminate office space    | $______         | Medium

Personal Finance Stress Test

PERSONAL FINANCIAL STRESS TEST:

INCOME SCENARIOS:
  Current income:          $______/month
  Reduced income (-20%):   $______/month
  Job loss (0 income):     $______/month
  Disability (partial):    $______/month

FIXED OBLIGATIONS:
  Housing (mortgage/rent): $______
  Insurance premiums:      $______
  Debt payments:           $______
  Utilities:               $______
  TOTAL FIXED:             $______

EMERGENCY RESERVES:
  Liquid savings:          $______
  Investment (accessible): $______
  Credit available:        $______
  TOTAL RESERVES:          $______

SURVIVAL METRICS:
  Months covered (fixed only):     ______
  Months covered (full spending):  ______
  Months if income drops 20%:      ______

  Target: 6+ months of full spending coverage

WHAT-IF ANALYSIS:
  "If [EVENT] happens, I can sustain for [N] months
   by cutting [EXPENSES] and drawing on [RESERVES]."

Scenario Planning Process

Workshop Format

SCENARIO PLANNING WORKSHOP:

PHASE 1: IDENTIFY UNCERTAINTIES (30 min)
  - List all factors that could impact the plan
  - Rate each: Impact (1-5) x Uncertainty (1-5)
  - Select top 2 with highest combined score
  - These become the axes of your scenario matrix

PHASE 2: BUILD SCENARIOS (45 min)
  Using the 2x2 matrix:

            Factor A: Low          Factor A: High
  Factor B:
  High      Scenario 1:            Scenario 2:
            [Name and narrative]    [Name and narrative]

  Factor B:
  Low       Scenario 3:            Scenario 4:
            [Name and narrative]    [Name and narrative]

PHASE 3: MODEL FINANCIALS (60 min)
  For each scenario:
  - Revenue projection (12-36 months)
  - Cost structure changes
  - Cash flow impact
  - Key metrics (CAC, LTV, margins)

PHASE 4: DEVELOP STRATEGIES (45 min)
  For each scenario:
  - What would we do differently?
  - What early warning signals would we see?
  - What decisions should we make now?
  - What options should we preserve?

PHASE 5: ACTION PLAN (30 min)
  - "No regret" moves (good in all scenarios)
  - Contingency triggers and responses
  - Monitoring dashboard design
  - Review cadence (quarterly recommended)

Reporting Templates

Scenario Summary for Stakeholders

FINANCIAL SCENARIO SUMMARY

Period: [Timeframe]
Prepared: [Date]
Author: [Name]

EXECUTIVE SUMMARY:
  [2-3 sentences: key finding and recommended action]

SCENARIO OUTCOMES:
                    Bear        Base        Bull
  Revenue:          $____       $____       $____
  EBITDA:           $____       $____       $____
  Cash (end):       $____       $____       $____
  Probability:      ____%       ____%       ____%
  Expected Value:   $____ (probability-weighted)

KEY RISKS:
  1. [Risk] — Impact: $____ — Mitigation: [Action]
  2. [Risk] — Impact: $____ — Mitigation: [Action]
  3. [Risk] — Impact: $____ — Mitigation: [Action]

RECOMMENDED ACTIONS:
  1. [No-regret move that's good in all scenarios]
  2. [Contingency to prepare now]
  3. [Decision to make by specific date]

MONITORING:
  KPI                  | Current | Trigger (Action Needed)
  Monthly revenue      | $____   | Below $____
  Cash runway          | ___ mo  | Below 6 months
  Customer churn       | ____%   | Above ____%

See Also

• Finance
• Risk Management
• Data Science