scenario-war-room

name	scenario-war-room
description	Cross-functional what-if modeling for compound adversity scenarios. Models cascading multi-variable risks across all business functions simultaneously. Unlike single-assumption stress tests, this shows how one problem creates the next. Use when facing complex risk scenarios, strategic decisions with major downside, multi-variable threats, or when someone asks "what if X AND Y both happen?
license	MIT + Commons Clause
metadata	{"version":"1.0.0","author":"borghei","category":"c-level","domain":"strategic-planning","tier":"POWERFUL","updated":"2026-03-09T00:00:00.000Z","frameworks":"cascade-modeling, scenario-planning, pre-mortem, contingency-design"}

Scenario War Room

Tier: POWERFUL Category: C-Level Advisory Tags: scenario planning, war room, risk modeling, cascade effects, contingency planning, pre-mortem, crisis simulation

Overview

The Scenario War Room models cascading what-if scenarios across all business functions. Not single-assumption stress tests -- compound adversity that shows how one problem creates the next, and where the cascade can be interrupted. Every scenario produces concrete hedges with costs, owners, and deadlines.

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When to Use

• A major risk has probability above 15% and impact above 20% of ARR
• Two or more threats could plausibly co-occur
• A strategic decision has significant downside if wrong
• Board or investors are asking "what's the worst case?"
• Pre-mortem before a major commitment (fundraise, acquisition, market entry)
• Quarterly risk review for leadership team

When NOT to Use

• Single-variable financial sensitivity analysis (use CFO Advisor stress testing)
• Routine project risk assessment (use project management risk frameworks)
• Technical failure mode analysis (use engineering incident planning)

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The 6-Step Cascade Model

Step 1: Define Scenario Variables (Maximum 3)

More than 3 variables creates analysis paralysis, not insight. Choose the 3 that actually keep leadership awake at night.

For each variable, specify:

Field	Description	Example
What changes	Specific, quantified	"Top customer (28% of ARR) gives 60-day termination notice"
Probability	Your best estimate	15%
Timeline	When it could hit	Within 90 days
Detection signal	How you would know it is happening	Sponsor goes dark, usage drops 25% MoM

Variable Template:

Variable A: [Specific change]
  Probability: [X]%  |  Timeline: [When]
  Detection: [Early warning signal]
  First-order impact: [Immediate consequence]

Variable B: [Specific change]
  Probability: [X]%  |  Timeline: [When]
  Detection: [Early warning signal]
  First-order impact: [Immediate consequence]

Variable C: [Specific change]
  Probability: [X]%  |  Timeline: [When]
  Detection: [Early warning signal]
  First-order impact: [Immediate consequence]

Step 2: Domain Impact Mapping

For each variable, assess impact across every business function:

Domain	Key Questions	Typical Impact Areas
Finance (CFO)	Burn impact? Runway change? Bridge options?	Cash, runway, covenant triggers
Revenue (CRO)	ARR gap? Churn cascade? Pipeline affected?	NRR, expansion, new logo risk
Product (CPO)	Roadmap derailed? PMF at risk? Customer need shift?	Delivery timeline, feature priority
Engineering (CTO)	Velocity hit? Key person risk? Technical debt impact?	Capacity, architecture, hiring
People (CHRO)	Attrition cascade? Hiring freeze? Morale impact?	Retention, culture, bench strength
Operations (COO)	Capacity affected? Process breaks? OKR impact?	SLAs, efficiency, scale
Market (CMO)	CAC affected? Competitive exposure? Brand risk?	Pipeline generation, positioning
Legal/Compliance	Regulatory timeline risk? Contract exposure?	Obligations, deadlines, penalties

Step 3: Cascade Mapping (The Core)

This is the most valuable step. Map how Variable A triggers consequences that amplify Variable B.

Cascade Diagram:

TRIGGER: Customer churn ($560K ARR)
  │
  ├──▶ CFO: Runway drops 14 → 8 months
  │     │
  │     └──▶ CHRO: Hiring freeze imposed
  │           │
  │           └──▶ CTO: 3 open engineering reqs frozen, roadmap slips 2 months
  │                 │
  │                 └──▶ CPO: Q4 feature launch delayed → 2 more customers at risk
  │                       │
  │                       └──▶ CRO: NRR drops → additional churn risk (DEATH SPIRAL ENTRY)
  │
  └──▶ CRO: Revenue concentration increases (next largest = 22%)
        │
        └──▶ Investors: Concentration risk flagged → Series A terms worsen

Name the cascades explicitly. Common cascade patterns:

Cascade Pattern	Description	Interruption Point
Revenue-to-Runway Death Spiral	Customer churn → lower runway → hiring freeze → slower product → more churn	Emergency revenue diversification
Key Person Cascade	Star leaves → team morale drops → followers leave → velocity collapses	Retention bonuses before departure
Market Squeeze	Competitor raises → price war → margins compress → can't invest in product	Differentiation, not price matching
Trust Cascade	Incident → customer concern → churn → press → more churn	Swift, transparent communication
Fundraise-Burn Spiral	Miss target → raise delayed → bridge at bad terms → burn cuts → team loss	Parallel fundraise tracks

Step 4: Severity Matrix

Model three scenarios with increasing severity:

Scenario	Variables Hit	Definition	Recovery Difficulty
Base	1 of 3	Single shock, others don't materialize	Manageable with prepared response
Stress	2 of 3	Compound shock, cascade begins	Requires significant pivot, board involvement
Severe	All 3	Full cascade, existential territory	Requires emergency action, may need board intervention

For each severity level, quantify:

BASE SCENARIO (Variable A only):
  Runway impact: [X] months → [Y] months
  ARR impact: -$[X] ([Y]% of total)
  Headcount impact: [freeze / reduction / none]
  Timeline to critical: [X] months
  Recovery plan: [specific actions]

STRESS SCENARIO (Variables A + B):
  Runway impact: [X] months → [Y] months
  ARR impact: -$[X] ([Y]% of total)
  Headcount impact: [specifics]
  Timeline to critical: [X] months
  Recovery plan: [specific actions]

SEVERE SCENARIO (All three):
  Runway impact: [X] months → [Y] months
  ARR impact: -$[X] ([Y]% of total)
  Headcount impact: [specifics]
  Timeline to critical: [X] months
  Existential: [yes/no]
  Emergency plan: [specific actions requiring board approval]

Step 5: Early Warning Signals (Trigger Points)

Define measurable signals that tell you a scenario is unfolding BEFORE it is confirmed. The value of this exercise is acting early, not reacting late.

Signal Design Criteria:

• Observable (you can actually measure it)
• Leading (appears before the full impact)
• Specific (not just "things feel off")
• Actionable (triggers a specific response)

Variable	Signal	Threshold	Response
Customer churn	Sponsor stops responding	> 3 weeks silence	Exec escalation, QBR request
Customer churn	Usage drops	> 25% MoM decline	CS outreach, value review
Fundraise delay	Term sheets	< 3 after 60 days in process	Parallel bridge conversations
Fundraise delay	Investor requests	> 30 day DD extension	Reduce burn, extend runway
Key person departure	Market compensation	Counter-offer required in last 90 days	Retention package, succession plan
Key person departure	External engagement	Engineer presenting at conferences for competitors	Direct conversation, role expansion

Step 6: Hedging Strategies

For each scenario: actions to take NOW (before the scenario materializes) that reduce impact if it does. Hedges have costs -- the goal is cheap insurance, not paranoia.

Hedge Evaluation Criteria:

Criterion	Question
Cost	What does this hedge cost to implement?
Reversibility	Can we undo it if the scenario doesn't happen?
Lead time	How long to implement? (Must be shorter than detection-to-impact window)
Coverage	Which scenarios does this hedge protect against?
Side effects	Does this hedge cause other problems?

Hedge Table Template:

Hedge	Cost	Protects Against	Owner	Deadline	Status
Establish $500K credit line	$5K/year	Runway shortfall (Base + Stress)	CFO	60 days	Not started
12-month retention bonus for 3 key engineers	$90K	Key person departure (all scenarios)	CHRO	30 days	In progress
Diversify to <20% revenue per customer	Sales effort (6 months)	Single-customer dependency	CRO	2 quarters	Planning
Start parallel fundraise track	CEO time (10 hrs/week)	Fundraise delay (Stress + Severe)	CEO	Immediate	Not started
Pre-negotiate bridge terms with existing investors	2 board conversations	Runway crisis (Severe)	CFO + CEO	45 days	Not started
Document architecture for bus factor reduction	2 engineering weeks	Key person departure	CTO	30 days	Not started

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Output Format

Every war room session produces this structured output:

SCENARIO: [Name]
DATE: [Date of analysis]
PARTICIPANTS: [Who was involved]

VARIABLES:
  A: [Description] — Probability: [X]%, Timeline: [When]
  B: [Description] — Probability: [X]%, Timeline: [When]
  C: [Description] — Probability: [X]%, Timeline: [When]

MOST LIKELY PATH: [Which combination actually plays out, with reasoning]

SEVERITY LEVELS:
  Base (A only):  Runway [X]→[Y]mo, ARR impact -$[X]
    Recovery: [2-3 specific actions]
  Stress (A+B):   Runway [X]→[Y]mo, ARR impact -$[X]
    Recovery: [3-4 specific actions]
  Severe (A+B+C): Runway [X]→[Y]mo, ARR impact -$[X]
    Existential: [yes/no]
    Emergency: [actions requiring board approval]

CASCADE MAP:
  [A] → [domain impact] → [triggers B amplification] → [domain impact] → [end state]
  Interruption points: [where cascade can be broken]

EARLY WARNING SIGNALS:
  1. [Signal] → indicates [scenario], threshold: [specific]
  2. [Signal] → indicates [scenario], threshold: [specific]
  3. [Signal] → indicates [scenario], threshold: [specific]

HEDGES (implement now):
  1. [Action] — cost: $[X] — protects: [scenarios] — owner: [role] — deadline: [date]
  2. [Action] — cost: $[X] — protects: [scenarios] — owner: [role] — deadline: [date]
  3. [Action] — cost: $[X] — protects: [scenarios] — owner: [role] — deadline: [date]

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

REVIEW DATE: [When to re-run this analysis — typically 90 days or after any variable shifts]

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Common Scenarios by Company Stage

Seed Stage

• Co-founder departure + product misses launch deadline
• Runway runs out + bridge terms are predatory
• Key technical hire falls through + competitor ships first

Series A

• Miss ARR target + fundraise delayed
• Top customer churns + competitor raises large round
• Key engineer leaves + critical feature deadline

Series B+

• Market contraction + burn multiple spikes above 3x
• Lead investor wants strategic pivot + team resists
• Regulatory change + product requires rearchitecture

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War Room Ground Rules

1. Maximum 3 variables per scenario. More is noise. Model the ones that actually matter.
2. Quantify or estimate. "Revenue drops" is not useful. "$420K ARR at risk over 60 days" is. Use ranges if uncertain.
3. Don't stop at first-order effects. The real damage is always in the cascade.
4. Model recovery, not just impact. Every scenario must have a "what we do" path.
5. Separate base case from sensitivity. Don't conflate "what probably happens" with "what could happen."
6. 3-4 scenarios per planning cycle. More creates analysis paralysis.
7. Review every 90 days. Probabilities and variables change. Stale scenarios give false comfort.
8. No judgment-free zone. People must feel safe naming ugly scenarios.

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Related Skills

Skill	Use When
ceo-advisor	Strategic decisions that scenarios inform
cfo-advisor	Financial modeling for scenario impacts
coo-advisor	Operational contingency planning
internal-narrative	Communicating scenario outcomes to stakeholders
cs-onboard	Company context that feeds scenario variables

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Troubleshooting

Problem	Likely Cause	Resolution
Scenarios feel too abstract to act on	Variables not specific or quantified enough	Require dollar amounts, percentages, and timelines for every variable; "revenue drops" is not actionable, "$420K ARR at risk over 60 days" is
Team generates only obvious, low-probability scenarios	Conformity bias; not applying Shell scenario planning method of challenging mental models	Use inversion technique: "What would guarantee our failure?"; bring in external perspective; reference industry-specific historical precedents
Cascade mapping stops at first-order effects	Facilitator not pushing past immediate consequences	Require minimum 3 levels of cascade for each variable; use "and then what?" prompting for each domain impact
Hedges identified but never implemented	No ownership, deadline, or cost attached	Every hedge must have: cost estimate, owner name, deadline, and status tracking; review in weekly leadership meeting
War room sessions take too long (> 4 hours)	Too many variables or trying to model every scenario	Enforce maximum 3 variables and 3-4 scenarios per session; use severity matrix to focus on highest-impact combinations
Early warning signals not being monitored	Signals assigned but not integrated into existing reporting	Add signals to existing dashboards and weekly scorecards; assign specific person to monitor each signal
Participants reluctant to name worst-case scenarios	Fear of being seen as negative or alarmist	Establish ground rules explicitly; cite Shell's experience: "the value is in surfacing what others won't say"; reward naming hard truths

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Success Criteria

• Each scenario session produces exactly 3 variables, 3 severity levels, and a cascade map with interruption points identified
• Early warning signals are specific enough to be monitored: observable, leading, and actionable with defined thresholds
• Hedges are costed, owned, and have deadlines within 7 days of the war room session
• At least one hedge per scenario is implemented (not just planned) within 30 days
• Scenario review conducted every 90 days with probability updates based on new information
• When an early warning signal fires, the pre-planned response is executed within the defined timeline
• War room output is concise enough for board consumption: one-page summary per scenario

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Scope & Limitations

• In scope: Multi-variable scenario construction, cascade modeling across all business functions, severity matrix analysis, early warning signal design, hedge strategy with cost-benefit analysis, scenario review cadence
• Out of scope: Single-variable financial sensitivity analysis (use CFO Advisor stress testing); technical failure mode analysis (use engineering incident planning); routine project risk assessment (use project management frameworks); insurance and risk transfer (use specialized broker)
• Limitation: Scenario probabilities are subjective estimates, not actuarial calculations; value is in preparedness, not prediction accuracy
• Limitation: Framework assumes scenarios are independent or correlated; black swan events by definition are not modelable
• Limitation: Cascade mapping is based on common organizational patterns; unique company structures may have different cascade paths
• Limitation: Maximum 3 variables per scenario is a deliberate constraint; more variables create analysis paralysis, not better insight

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Integration Points

Skill	Integration	Data Flow
ceo-advisor	Strategic decisions informed by scenario analysis	War room scenarios → CEO decision inputs
cfo-advisor	Financial modeling for scenario impacts and hedge costs	War room financial impacts → CFO stress test models
coo-advisor	Operational contingency planning and cascade interruption	War room cascade map → COO contingency plans
executive-mentor	Pre-mortem failure modes feed into scenario variables	Mentor failure modes → War room variables
internal-narrative	Crisis scenarios require pre-built communication plans	War room crisis scenarios → Narrative crisis templates
org-health-diagnostic	Health dimension scores surface scenario variables	Health red flags → War room variable candidates
strategic-alignment	Scenario outcomes may require strategic realignment	War room outcomes → Alignment reassessment

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Python Tools

Tool	Purpose	Usage
scripts/scenario_builder.py	Build structured scenarios with variables, probabilities, detection signals, and severity levels	python scripts/scenario_builder.py --name "Customer Concentration Risk" --variable "Top customer churns" --probability 20 --impact 500000 --timeline 90 --json
scripts/impact_matrix_calculator.py	Calculate compound impact across multiple variables with severity matrix and cascade risk scoring	python scripts/impact_matrix_calculator.py --variables "churn:500000:0.2" "fundraise_delay:0:0.3" "key_departure:0:0.15" --arr 2000000 --runway-months 14 --json
scripts/decision_tree_analyzer.py	Build and evaluate decision trees with expected value calculations for strategic options	python scripts/decision_tree_analyzer.py --decision "Enter Japan market" --option "Direct:0.6:2000000:-500000" --option "Partnership:0.75:1000000:-200000" --option "Wait:1.0:0:0" --json