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scenario-war-room

Model up to three overlapping business risks and trace how their effects spread across teams. Compare three severity levels, identify early warning signals, and define preventive actions with costs, owners, and deadlines to support strategic decisions.

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Cross-functional what-if modeling for cascading multi-variable scenarios. Unlike single-assumption stress testing, this models compound adversity across all business functions simultaneously. Use when facing complex risk scenarios, strategic decisions with major downside, or when the user asks 'what if X AND Y both happen?'

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适用场景

  • Assessing customer loss alongside a funding delay
  • Planning for key departures before a product launch
  • Preparing responses to market decline and competitor funding
  • Defining early warning signals and preventive actions

包含的文件(3)

  • SKILL.md7.8 KB
  • references/scenario-planning.md7.8 KB
  • scripts/scenario_modeler.py17.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Scenario War Room

Model cascading what-if scenarios across all business functions. Not single-assumption stress tests — compound adversity that shows how one problem creates the next.

Keywords

scenario planning, war room, what-if analysis, risk modeling, cascading effects, compound risk, adversity planning, contingency planning, stress test, crisis planning, multi-variable scenario, pre-mortem

Quick Start

python scripts/scenario_modeler.py   # Interactive scenario builder with cascade modeling

Or describe the scenario in natural language:

"What if we lose our top customer AND miss the Q3 fundraise?" "What if 3 engineers quit AND we need to ship by Q3?" "What if our market shrinks 30% AND a competitor raises $50M?"

What This Is Not

  • Not a single-assumption stress test (that's /em:stress-test)
  • Not financial modeling only — every function gets modeled
  • Not worst-case-only — models 3 severity levels
  • Not paralysis by analysis — outputs concrete hedges and triggers

Framework: 6-Step Cascade Model

Step 1: Define Scenario Variables (max 3)

State each variable with:

  • What changes — specific, quantified if possible
  • Probability — your best estimate
  • Timeline — when it hits
Variable A: Top customer (28% ARR) gives 60-day termination notice
  Probability: 15% | Timeline: Within 90 days

Variable B: Series A fundraise delayed 6 months beyond target close
  Probability: 25% | Timeline: Q3

Variable C: Lead engineer resigns
  Probability: 20% | Timeline: Unknown

Step 2: Domain Impact Mapping

For each variable, each relevant role models impact:

DomainOwnerModels
Cash & runwayCFOBurn impact, runway change, bridge options
RevenueCROARR gap, churn cascade risk, pipeline
ProductCPORoadmap impact, PMF risk
EngineeringCTOVelocity impact, key person risk
PeopleCHROAttrition cascade, hiring freeze implications
OperationsCOOCapacity, OKR impact, process risk
SecurityCISOCompliance timeline risk
MarketCMOCAC impact, competitive exposure

Step 3: Cascade Effect Mapping

This is the core. Show how Variable A triggers consequences in domains that trigger Variable B's effects:

TRIGGER: Customer churn ($560K ARR)
  ↓
CFO: Runway drops 14 → 8 months
  ↓
CHRO: Hiring freeze; retention risk increases (morale hit)
  ↓
CTO: 3 open engineering reqs frozen; roadmap slips
  ↓
CPO: Q4 feature launch delayed → customer retention risk
  ↓
CRO: NRR drops; existing accounts see reduced velocity → more churn risk
  ↓
CFO: [Secondary cascade — potential death spiral if not interrupted]

Name the cascade explicitly. Show where it can be interrupted.

Step 4: Severity Matrix

Model three scenarios:

ScenarioDefinitionRecovery
BaseOne variable hits; others don'tManageable with plan
StressTwo variables hit simultaneouslyRequires significant response
SevereAll variables hit; full cascadeExistential; requires board intervention

For each severity level:

  • Runway impact
  • ARR impact
  • Headcount impact
  • Timeline to unacceptable state (trigger point)

Step 5: Trigger Points (Early Warning Signals)

Define the measurable signal that tells you a scenario is unfolding before it's confirmed:

Trigger for Customer Churn Risk:
  - Sponsor goes dark for >3 weeks
  - Usage drops >25% MoM
  - No Q1 QBR confirmed by Dec 1

Trigger for Fundraise Delay:
  - <3 term sheets after 60 days of process
  - Lead investor requests >30-day extension on DD
  - Competitor raises at lower valuation (market signal)

Trigger for Engineering Attrition:
  - Glassdoor activity from engineering team
  - 2+ referral interview requests from engineers
  - Above-market offer counter-required in last 3 months

Step 6: Hedging Strategies

For each scenario: actions to take now (before the scenario materializes) that reduce impact if it does.

HedgeCostImpactOwnerDeadline
Establish $500K credit line$5K/yearBuys 3 months if churn hitsCFO60 days
12-month retention bonus for 3 key engineers$90KLocks team through fundraiseCHRO30 days
Diversify to <20% revenue concentration per customerSales effortReduces single-customer riskCRO2 quarters
Compress fundraise timeline, start parallel processCEO timeCloses before runways mergeCEOImmediate

Output Format

Every war room session produces:

SCENARIO: [Name]
Variables: [A, B, C]
Most likely path: [which combination actually plays out, with probability]

SEVERITY LEVELS
Base (A only): [runway/ARR impact] — recovery: [X actions]
Stress (A+B): [runway/ARR impact] — recovery: [X actions]
Severe (A+B+C): [runway/ARR impact] — existential risk: [yes/no]

CASCADE MAP
[A → domain impact → B trigger → domain impact → end state]

EARLY WARNING SIGNALS
- [Signal 1 → which scenario it indicates]
- [Signal 2 → which scenario it indicates]
- [Signal 3 → which scenario it indicates]

HEDGES (take these actions now)
1. [Action] — cost: $X — impact: [what it buys] — owner: [role] — deadline: [date]
2. [Action] — cost: $X — impact: [what it buys] — owner: [role] — deadline: [date]
3. [Action] — cost: $X — impact: [what it buys] — owner: [role] — deadline: [date]

RECOMMENDED DECISION
[One paragraph. What to do, in what order, and why.]

Rules for Good War Room Sessions

Max 3 variables per scenario. More than 3 is noise — you can't meaningfully prepare for 5-variable collapse. Model the 3 that actually worry you.

Quantify or estimate. "Revenue drops" is not useful. "$420K ARR at risk over 60 days" is. Use ranges if uncertain.

Don't stop at first-order effects. The damage is always in the cascade, not the initial hit.

Model recovery, not just impact. Every scenario should have a "what we do" path.

Separate base case from sensitivity. Don't conflate "what probably happens" with "what could happen."

Don't over-model. 3-4 scenarios per planning cycle is the right number. More creates analysis paralysis.


Common Scenarios by Stage

Seed:

  • Co-founder leaves + product misses launch
  • Funding runs out + bridge terms unfavorable

Series A:

  • Miss ARR target + fundraise delayed
  • Key customer churns + competitor raises

Series B:

  • Market contraction + burn multiple spikes
  • Lead investor wants pivot + team resists

Integration with C-Suite Roles

Scenario TypePrimary RolesCascade To
Revenue missCRO, CFOCMO (pipeline), COO (cuts), CHRO (layoffs)
Key person departureCHRO, COOCTO (if eng), CRO (if sales)
Fundraise failureCFO, CEOCOO (runway extension), CHRO (hiring freeze)
Security breachCISO, CTOCEO (comms), CFO (cost), CRO (customer impact)
Market shiftCEO, CPOCMO (repositioning), CRO (new segments)
Competitor moveCMO, CROCPO (roadmap response), CEO (strategy)

References

  • references/scenario-planning.md — Shell methodology, pre-mortem, Monte Carlo, cascade frameworks
  • scripts/scenario_modeler.py — CLI tool for structured scenario modeling

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