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/business-scenario-explorer

Explore multiple business timeline scenarios with constraint validation and decision optimization.

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claude-command-suite
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How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/business-scenario-explorer

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What this command does when you run it.

Explore multiple business timeline scenarios with constraint validation and decision optimization.

Command definition

business-scenario-explorer.md

Business Scenario Explorer

Explore multiple business timeline scenarios with constraint validation and decision optimization.

Instructions

You are tasked with creating a comprehensive business scenario simulation to help explore multiple future timelines and make better strategic decisions. Follow this systematic approach: **$ARGUMENTS**

1. Prerequisites Assessment

**Before proceeding, validate these critical inputs:**

  • **Business Context**: Is the core business model and industry clearly defined?
  • **Time Horizon**: What is the planning timeline (quarters, years, market cycles)?
  • **Key Variables**: What are the primary factors that could change outcomes?
  • **Success Metrics**: How will you measure scenario success/failure?
  • **Decision Points**: What specific decisions need to be made?

**If any of these are unclear, use progressive questioning:**

Missing Business Context:
"I need to understand your business model better. Please describe:
- Your primary revenue streams
- Key cost drivers 
- Main competitive advantages
- Target market segments"

Missing Time Horizon:
"What planning period should we simulate?
- Short-term (3-6 months): Market response, product launches
- Medium-term (1-2 years): Strategic initiatives, market expansion  
- Long-term (3-5+ years): Industry transformation, market cycles"

Missing Key Variables:
"What factors could significantly impact your business?
- Market conditions (growth, recession, disruption)
- Competitive landscape changes
- Regulatory shifts
- Technology adoption
- Customer behavior evolution"

2. Constraint Modeling

**Map the decision environment with systematic constraint analysis:**

External Constraints

  • Market size and growth dynamics
  • Competitive positioning and responses
  • Regulatory environment and compliance requirements
  • Economic conditions and cycles
  • Technology adoption curves
  • Supply chain dependencies

Internal Constraints

  • Financial resources and burn rate
  • Team capabilities and capacity
  • Technology infrastructure limitations
  • Brand positioning and reputation
  • Customer base characteristics
  • Operational scalability factors

Temporal Constraints

  • Product development cycles
  • Market timing windows
  • Seasonal business patterns
  • Contract and partnership timelines
  • Regulatory approval processes

**Quality Gate**: Validate that constraints are:

  • Specific and measurable
  • Based on real data where possible
  • Include ranges/uncertainty bounds
  • Account for interdependencies

3. Scenario Architecture

**Design multiple timeline branches systematically:**

Base Case Scenario

  • Most likely outcome given current trajectory
  • Conservative assumptions about key variables
  • Historical pattern extrapolation
  • Risk-adjusted projections

Optimistic Scenarios (2-3 variants)

  • Best-case market conditions
  • Successful execution of all initiatives
  • Favorable competitive dynamics
  • Accelerated adoption/growth

Pessimistic Scenarios (2-3 variants)

  • Economic downturn impact
  • Increased competition
  • Execution challenges
  • Regulatory headwinds

Disruption Scenarios (2-3 variants)

  • Technology breakthrough impacts
  • New market entrants
  • Business model shifts
  • Black swan events

**Progressive Depth**: Start with 3-5 high-level scenarios, then drill into the most impactful ones.

4. Timeline Compression Simulation

**Run accelerated scenario testing:**

Quarter-by-Quarter Analysis

  • Revenue progression under each scenario
  • Cost structure evolution
  • Market share dynamics
  • Key milestone achievement

Decision Point Mapping

  • Critical decisions required at each timeline juncture
  • Option values and decision trees
  • Point-of-no-return identification
  • Pivot opportunity windows

Feedback Loop Modeling

  • How early results would inform later decisions
  • Adaptive strategy adjustments
  • Learning and refinement cycles

5. Quantitative Modeling

**Apply systematic measurement to scenarios:**

Financial Projections

  • Revenue growth trajectories
  • Profit margin evolution
  • Cash flow dynamics
  • Investment requirements
  • ROI calculations across timelines

Market Dynamics

  • Market share progression
  • Customer acquisition costs
  • Lifetime value evolution
  • Competitive response modeling

Operational Metrics

  • Team scaling requirements
  • Infrastructure capacity needs
  • Efficiency improvements
  • Quality indicators

**Confidence Scoring**: Rate each projection 1-10 based on:

  • Data quality supporting the assumption
  • Historical precedent availability
  • Expert validation received
  • Logical consistency with other assumptions

6. Risk Assessment & Mitigation

**Systematically evaluate scenario risks:**

Probability Weighting

  • Assign realistic probabilities to each scenario
  • Use base rate analysis from similar situations
  • Account for planning fallacy and optimism bias
  • Include expert opinion and market research

Impact Analysis

  • Quantify potential upside/downside for each scenario
  • Identify business-critical failure modes
  • Map cascade effects and domino risks
  • Calculate expected value across scenarios

Mitigation Strategies

  • Identify early warning indicators for each scenario
  • Design adaptive responses and pivot strategies
  • Build option values and flexibility into plans
  • Create risk monitoring dashboards

7. Decision Optimization

**Generate actionable strategic guidance:**

Strategy Robustness Testing

  • Which strategies perform well across multiple scenarios?
  • What are the key sensitivity factors?
  • Where are the highest-leverage decision points?
  • What creates competitive moats in each timeline?

Resource Allocation Optimization

  • Optimal budget allocation across scenarios
  • Investment sequencing and timing
  • Capability building priorities
  • Partnership and acquisition strategies

Contingency Planning

  • Specific action triggers for each scenario
  • Resource reallocation frameworks
  • Communication strategies
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