/business-scenario-explorer
Explore multiple business timeline scenarios with constraint validation and decision optimization.
$ npx -y skills add qdhenry/Claude-Command-Suite --agent claude-codeHow it fires
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
Context preview
What this command does when you run it.
Explore multiple business timeline scenarios with constraint validation and decision optimization.
Command definition
business-scenario-explorer.mdBusiness 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
Read more
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
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Repo: qdhenry/Claude-Command-Suite
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