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Scenario War Room

by @alirezarezvani

Cross-functional what-if modeling for cascading multi-variable scenarios. Unlike single-assumption stress testing, this models compound adversity across all...

Versionv2.1.1
Downloads616
Installs3
TERMINAL
clawhub install scenario-war-room

πŸ“– About This Skill


name: "scenario-war-room" description: "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?'" license: MIT metadata: version: 1.0.0 author: Alireza Rezvani category: c-level domain: strategic-planning updated: 2026-03-05 python-tools: scenario_modeler.py frameworks: scenario-planning

Scenario War Room

Model cascading what-if scenarios across all business functions. Not single-assumption stress tests β€” 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 β€” every function gets modeled
  • Not worst-case-only β€” models 3 severity levels
  • Not paralysis by analysis β€” outputs concrete hedges and triggers
  • Framework: 6-Step Cascade Model

    Step 1: Define Scenario Variables (max 3)

    State each variable with:
  • What changes β€” specific, quantified if possible
  • Probability β€” your best estimate
  • Timeline β€” 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 β†’ 8 months
      ↓
    CHRO: Hiring freeze; retention risk increases (morale hit)
      ↓
    CTO: 3 open engineering reqs frozen; roadmap slips
      ↓
    CPO: Q4 feature launch delayed β†’ customer retention risk
      ↓
    CRO: NRR drops; existing accounts see reduced velocity β†’ more churn risk
      ↓
    CFO: [Secondary cascade β€” 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] β€” recovery: [X actions] Stress (A+B): [runway/ARR impact] β€” recovery: [X actions] Severe (A+B+C): [runway/ARR impact] β€” existential risk: [yes/no]

    CASCADE MAP [A β†’ domain impact β†’ B trigger β†’ domain impact β†’ end state]

    EARLY WARNING SIGNALS

  • [Signal 1 β†’ which scenario it indicates]
  • [Signal 2 β†’ which scenario it indicates]
  • [Signal 3 β†’ which scenario it indicates]
  • HEDGES (take these actions now) 1. [Action] β€” cost: $X β€” impact: [what it buys] β€” owner: [role] β€” deadline: [date] 2. [Action] β€” cost: $X β€” impact: [what it buys] β€” owner: [role] β€” deadline: [date] 3. [Action] β€” cost: $X β€” impact: [what it buys] β€” owner: [role] β€” 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 β€” 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 β€” Shell methodology, pre-mortem, Monte Carlo, cascade frameworks
  • scripts/scenario_modeler.py β€” CLI tool for structured scenario modeling
  • πŸ’‘ Examples

    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?"