Back to Commands

/future_scenario_generator

Simulation & Modeling

Generate and analyze future scenarios with plausibility scoring, trend integration, and uncertainty quantification.

Arguments: Specify scenario parameters

About Slash Commands

Type the command in Claude Code to trigger it. Some commands accept arguments (shown as <arg>). Commands run specialized workflows or prompts to help with specific tasks.

Installation

Step 1: Add the marketplace (one-time)

/plugin marketplace add davepoon/buildwithclaude

Step 2: Install the Simulation & Modeling commands

/plugin install commands-simulation-modeling@buildwithclaude

Usage

/future_scenario_generator Specify scenario parameters

Command Instructions


Future Scenario Generator


Generate and analyze future scenarios with plausibility scoring, trend integration, and uncertainty quantification.


Instructions


You are tasked with systematically generating comprehensive future scenarios to explore potential developments and prepare for multiple possible futures. Follow this approach: **$ARGUMENTS**


1. Prerequisites Assessment


**Critical Scenario Context Validation:**


  • **Time Horizon**: What future timeframe are you exploring (1-3-5-10+ years)?
  • **Domain Focus**: What specific area/industry/system are you analyzing?
  • **Key Variables**: What factors could significantly shape the future?
  • **Decision Impact**: How will these scenarios inform specific decisions?
  • **Uncertainty Level**: What's the acceptable range of scenario uncertainty?

    • **If context is unclear, guide systematically:**


    ```

    Missing Time Horizon:

    "What future timeframe should we explore?

  • Near-term (1-2 years): Market shifts, competitive moves, technology adoption
  • Medium-term (3-5 years): Industry transformation, regulatory changes, generational shifts
  • Long-term (5-10+ years): Fundamental technology disruption, societal changes, paradigm shifts

    • Each timeframe requires different scenario methodologies and uncertainty management."


    Missing Domain Focus:

    "What specific domain or system should we model future scenarios for?

  • Business/Industry: Market evolution, competitive landscape, customer behavior
  • Technology: Platform shifts, capability development, adoption patterns
  • Society/Culture: Demographic changes, value shifts, behavior evolution
  • Economy/Policy: Regulatory changes, economic cycles, political developments"
    • ```

    2. Trend Analysis Foundation


    **Systematically analyze current trends as scenario building blocks:**


    #### Trend Identification Framework

    ```

    Multi-Dimensional Trend Analysis:


    Technology Trends:

  • Emerging technologies and adoption curves
  • Infrastructure development and capability expansion
  • Platform shifts and ecosystem evolution
  • Innovation cycles and breakthrough potential

    • Social/Cultural Trends:

  • Demographic shifts and generational changes
  • Value system evolution and priority shifts
  • Behavior pattern changes and lifestyle adaptation
  • Communication and interaction pattern evolution

    • Economic Trends:

  • Market structure changes and industry evolution
  • Investment patterns and capital allocation shifts
  • Globalization and trade pattern modifications
  • Economic cycle positioning and policy directions

    • Regulatory/Policy Trends:

  • Regulatory environment evolution and compliance requirements
  • Policy direction changes and government priorities
  • International relations and trade agreement impacts
  • Legal framework development and enforcement patterns
    • ```

    #### Trend Trajectory Modeling

  • Linear progression scenarios (current trends continue)
  • Acceleration scenarios (trends speed up dramatically)
  • Deceleration scenarios (trends slow down or plateau)
  • Reversal scenarios (trends change direction)
  • Disruption scenarios (trends are fundamentally altered)

    • 3. Scenario Architecture Design


    **Structure comprehensive scenario frameworks:**


    #### Scenario Generation Methodology

    ```

    Systematic Scenario Construction:


    Cross-Impact Analysis:

  • Identify key driving forces and variables
  • Analyze interaction effects between different trends
  • Map reinforcing and conflicting trend combinations
  • Model cascade effects and secondary impacts

    • Morphological Analysis:

  • Define key dimensions of future variation
  • Identify possible states for each dimension
  • Generate scenario combinations systematically
  • Evaluate scenario consistency and plausibility

    • Narrative Scenario Development:

  • Create compelling future stories and visions
  • Integrate quantitative trends with qualitative insights
  • Develop scenario logic and causal narratives
  • Ensure scenario diversity and comprehensive coverage
    • ```

    #### Scenario Categorization Framework

    ```

    Scenario Portfolio Structure:


    Baseline Scenarios (30-40% of portfolio):

  • Continuation of current trends with normal variation
  • Evolutionary change within existing paradigms
  • Moderate uncertainty and predictable development patterns

    • Optimistic Scenarios (20-25% of portfolio):

  • Favorable trend convergence and positive developments
  • Breakthrough innovations and acceleration opportunities
  • Best-case outcome realization and synergy effects

    • Pessimistic Scenarios (20-25% of portfolio):

  • Adverse trend combinations and negative developments
  • Crisis scenarios and system stress conditions
  • Worst-case outcome realization and cascade failures

    • Transformation Scenarios (15-20% of portfolio):

  • Paradigm shifts and fundamental system changes
  • Disruptive innovation and market restructuring
  • Wild card events and black swan developments
    • ```

    4. Plausibility Assessment Framework


    **Systematically evaluate scenario credibility:**


    #### Plausibility Scoring Methodology

    ```

    Multi-Criteria Plausibility Assessment:


    Historical Precedent (25% weight):

  • Similar patterns and developments in historical context
  • Analogous situations and outcome patterns
  • Learning from past trend evolution and scenario realization

    • Logical Consistency (25% weight):

  • Internal scenario logic and causal relationships
  • Consistency between different scenario elements
  • Absence of logical contradictions and impossible combinations

    • Expert Validation (25% weight):

  • Domain expert assessment and credibility evaluation
  • Stakeholder input and perspective integration
  • Professional judgment and experience-based validation

    • Empirical Support (25% weight):

  • Current data and trend evidence supporting scenario elements
  • Quantitative model outputs and statistical projections
  • Research findings and academic literature support

    • Plausibility Score = (Historical × 0.25) + (Logical × 0.25) + (Expert × 0.25) + (Empirical × 0.25)

    ```

    #### Uncertainty Quantification

  • Confidence intervals for key scenario parameters
  • Sensitivity analysis for critical assumptions
  • Monte Carlo simulation for probability distributions
  • Expert elicitation for subjective probability assessment

    • 5. Wild Card and Disruption Modeling


    **Incorporate low-probability, high-impact events:**


    #### Wild Card Event Framework

    ```

    Systematic Disruption Analysis:


    Technology Wild Cards:

  • Breakthrough innovations and paradigm shifts
  • Technology convergence and unexpected capabilities
  • Platform disruptions and ecosystem transformations
  • Artificial intelligence and automation breakthroughs

    • Social Wild Cards:

  • Generational value shifts and behavior changes
  • Social movement emergence and cultural transformations
  • Demographic surprises and migration patterns
  • Communication and social interaction disruptions

    • Economic Wild Cards:

  • Financial system disruptions and market structure changes
  • Resource scarcity or abundance surprises
  • Currency and monetary system transformations
  • Trade pattern disruptions and economic bloc changes

    • Environmental/Political Wild Cards:

  • Climate change acceleration or mitigation breakthroughs
  • Geopolitical shifts and international relation changes
  • Natural disasters and pandemic impacts
  • Regulatory surprises and policy paradigm shifts
    • ```

    #### Disruption Impact Modeling

  • Direct impact assessment on key scenario variables
  • Cascade effect analysis through system dependencies
  • Adaptation and recovery scenario development
  • Resilience and vulnerability analysis

    • 6. Scenario Integration and Synthesis


    **Combine scenarios into comprehensive future landscape:**


    #### Cross-Scenario Analysis

    ```

    Scenario Portfolio Analysis:


    Scenario Clustering:

  • Group similar scenarios and identify common patterns
  • Analyze scenario divergence points and branching factors
  • Map scenario transition probabilities and pathways
  • Identify robust strategies across multiple scenarios

    • Scenario Interaction Effects:

  • How scenarios might combine or influence each other
  • Sequential scenario development and evolution patterns
  • Scenario switching triggers and transition indicators
  • Portfolio effects of scenario diversification

    • Key Insight Synthesis:

  • Common themes and patterns across scenarios
  • Critical uncertainties and decision-relevant factors
  • Robust trends that appear in most scenarios
  • Strategic implications and opportunity identification
    • ```

    #### Scenario Narrative Development

  • Compelling future stories that integrate multiple trends
  • Character and stakeholder perspective integration
  • Timeline development and milestone identification
  • Vivid details that make scenarios memorable and actionable

    • 7. Decision Integration Framework


    **Connect scenarios to actionable strategic insights:**


    #### Strategy Testing Against Scenarios

    ```

    Scenario-Based Strategy Evaluation:


    Strategy Robustness Analysis:

  • How well do current strategies perform across scenarios?
  • Which scenarios pose the greatest strategic challenges?
  • What strategy modifications improve cross-scenario performance?
  • Where are the greatest strategy vulnerabilities and dependencies?

    • Option Value Analysis:

  • What strategic options provide value across multiple scenarios?
  • Which investments maintain flexibility for different futures?
  • How can strategies be designed for adaptive capability?
  • What early warning systems enable strategy adjustment?

    • Contingency Planning:

  • Specific response strategies for different scenario realizations
  • Resource allocation across scenarios and strategy options
  • Decision trigger identification and monitoring systems
  • Implementation readiness for scenario-specific strategies
    • ```

    #### Strategic Recommendation Generation

    ```

    Scenario-Informed Strategy Framework:


    Future Scenario Analysis: [Domain/Project Name]


    Scenario Portfolio Summary

  • Time Horizon: [analysis period]
  • Key Driving Forces: [primary variables analyzed]
  • Scenarios Generated: [number and types]
  • Plausibility Range: [confidence levels]

    • High-Impact Scenarios


    #### Scenario 1: [Name - Plausibility Score]

  • Timeline: [key development milestones]
  • Driving Forces: [primary trends and factors]
  • Key Characteristics: [distinctive features]
  • Strategic Implications: [decision impacts]

    • [Repeat for top 4-6 scenarios]


    Cross-Scenario Insights

  • Robust Trends: [patterns appearing in most scenarios]
  • Critical Uncertainties: [factors determining scenario outcomes]
  • Strategic Vulnerabilities: [areas of risk across scenarios]
  • Opportunity Convergence: [areas of opportunity across scenarios]

    • Strategic Recommendations

  • Core Strategy: [approach that works across multiple scenarios]
  • Scenario-Specific Tactics: [adaptations for different scenarios]
  • Early Warning Indicators: [signals for scenario realization]
  • Strategic Options: [investments that maintain flexibility]

    • Monitoring and Adaptation Framework

  • Key Indicators: [metrics to track scenario development]
  • Decision Triggers: [when to adjust strategy based on signals]
  • Contingency Plans: [specific responses for different scenarios]
  • Review Schedule: [when to update scenario analysis]
    • ```

    8. Continuous Scenario Evolution


    **Establish ongoing scenario refinement and updating:**


    #### Real-World Validation

  • Track actual developments against scenario predictions
  • Update scenario probabilities based on emerging evidence
  • Refine scenario assumptions based on real-world feedback
  • Learn from scenario accuracy and prediction quality

    • #### Adaptive Scenario Management

  • Regular scenario refresh and update cycles
  • New information integration and scenario modification
  • Stakeholder feedback incorporation and perspective updates
  • Methodology improvement based on scenario performance

    • Usage Examples


    ```bash

    Industry transformation scenarios

    /simulation:future-scenario-generator Generate scenarios for AI's impact on healthcare industry over next 10 years


    Technology adoption scenarios

    /simulation:future-scenario-generator Model future scenarios for remote work technology adoption and workplace evolution


    Market evolution scenarios

    /simulation:future-scenario-generator Explore scenarios for sustainable energy market development and regulatory changes


    Competitive landscape scenarios

    /simulation:future-scenario-generator Generate scenarios for fintech industry evolution and traditional banking disruption

    ```

    Quality Indicators


  • **Green**: Diverse scenario portfolio, validated plausibility scores, integrated wild cards
  • **Yellow**: Good scenario variety, reasonable plausibility assessment, some disruption modeling
  • **Red**: Limited scenario diversity, unvalidated assumptions, missing disruption analysis

    • Common Pitfalls to Avoid


  • Present bias: Projecting current conditions too strongly into the future
  • Linear thinking: Assuming trends continue unchanged without acceleration or disruption
  • Probability illusion: Being overconfident in specific scenario likelihoods
  • Complexity underestimation: Not modeling interaction effects between trends
  • Wild card blindness: Ignoring low-probability, high-impact events
  • Action paralysis: Generating scenarios without connecting to decisions

    • Transform uncertainty into strategic advantage through systematic future scenario exploration and preparation.