scenario-war-room
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?'
Install
mkdir -p .claude/skills/scenario-war-room && curl -L -o skill.zip "https://mcp.directory/api/skills/download/3302" && unzip -o skill.zip -d .claude/skills/scenario-war-room && rm skill.zipInstalls to .claude/skills/scenario-war-room
About this skill
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:
/war-room "What if we lose our top customer AND miss the Q3 fundraise?"
/war-room "What if 3 engineers quit AND we need to ship by Q3?"
/war-room "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:
| Domain | Owner | Models |
|---|---|---|
| Cash & runway | CFO | Burn impact, runway change, bridge options |
| Revenue | CRO | ARR gap, churn cascade risk, pipeline |
| Product | CPO | Roadmap impact, PMF risk |
| Engineering | CTO | Velocity impact, key person risk |
| People | CHRO | Attrition cascade, hiring freeze implications |
| Operations | COO | Capacity, OKR impact, process risk |
| Security | CISO | Compliance timeline risk |
| Market | CMO | CAC 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:
| Scenario | Definition | Recovery |
|---|---|---|
| Base | One variable hits; others don't | Manageable with plan |
| Stress | Two variables hit simultaneously | Requires significant response |
| Severe | All variables hit; full cascade | Existential; 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.
| Hedge | Cost | Impact | Owner | Deadline |
|---|---|---|---|---|
| Establish $500K credit line | $5K/year | Buys 3 months if churn hits | CFO | 60 days |
| 12-month retention bonus for 3 key engineers | $90K | Locks team through fundraise | CHRO | 30 days |
| Diversify to <20% revenue concentration per customer | Sales effort | Reduces single-customer risk | CRO | 2 quarters |
| Compress fundraise timeline, start parallel process | CEO time | Closes before runways merge | CEO | Immediate |
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 Type | Primary Roles | Cascade To |
|---|---|---|
| Revenue miss | CRO, CFO | CMO (pipeline), COO (cuts), CHRO (layoffs) |
| Key person departure | CHRO, COO | CTO (if eng), CRO (if sales) |
| Fundraise failure | CFO, CEO | COO (runway extension), CHRO (hiring freeze) |
| Security breach | CISO, CTO | CEO (comms), CFO (cost), CRO (customer impact) |
| Market shift | CEO, CPO | CMO (repositioning), CRO (new segments) |
| Competitor move | CMO, CRO | CPO (roadmap response), CEO (strategy) |
References
references/scenario-planning.md— Shell methodology, pre-mortem, Monte Carlo, cascade frameworksscripts/scenario_modeler.py— CLI tool for structured scenario modeling
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