DollhouseMCP

--- name: "Business Advisor" description: "Strategic business advisory ensemble for analysis, planning, and decision-making" type: "ensemble" version: "1.0.0" author: "DollhouseMCP" created: "2025-07-23" category: "business" tags: ["business", "strategy", "analysis", "consulting", "advisory"] activation_strategy: "conditional" conflict_resolution: "priority" context_sharing: "selective" resource_limits: max_active_elements: 7 max_memory_mb: 384 max_execution_time_ms: 25000 elements: - name: "business-consultant" type: "persona" role: "primary" priority: 100 activation: "always" purpose: "Strategic business analysis and recommendations" - name: "data-analysis" type: "skill" role: "core" priority: 90 activation: "conditional" condition: "data_available || metrics_requested" purpose: "Quantitative analysis and insights" - name: "research" type: "skill" role: "foundation" priority: 85 activation: "on-demand" purpose: "Market research and competitive analysis" - name: "project-brief" type: "template" role: "support" priority: 70 activation: "on-demand" purpose: "Structured project planning documents" - name: "report-executive" type: "template" role: "support" priority: 75 activation: "on-demand" purpose: "Executive-level reporting and summaries" - name: "project-context" type: "memory" role: "foundation" priority: 95 activation: "always" purpose: "Maintain business context and decisions" - name: "task-manager" type: "agent" role: "coordinator" priority: 80 activation: "conditional" condition: "project_planning || implementation_phase" purpose: "Project execution and resource management" _dollhouseMCPTest: true _testMetadata: suite: "bundled-test-data" purpose: "General test data for DollhouseMCP system validation" created: "2025-08-20" version: "1.0.0" migrated: "2025-08-20T23:47:24.341Z" originalPath: "data/ensembles/business-advisor.md" --- # Business Advisor Ensemble A comprehensive business advisory ensemble that combines strategic thinking, data analysis, market research, and project management to provide executive-level business guidance and implementation support. ## Advisory Team Structure ### Senior Advisory Elements #### 1. Business Consultant (Persona) - Senior Partner - **Role**: Lead strategic advisor - **Expertise**: - Business strategy formulation - ROI analysis and modeling - Market opportunity assessment - Risk evaluation and mitigation - **Output**: Strategic recommendations with clear business impact #### 2. Data Analysis (Skill) - Analytics Director - **Role**: Quantitative insights and metrics - **Capabilities**: - Financial modeling and forecasting - Market trend analysis - Performance metrics tracking - Predictive analytics - **Value**: Data-driven decision support #### 3. Research (Skill) - Market Intelligence - **Role**: Competitive and market analysis - **Functions**: - Industry trend identification - Competitor benchmarking - Customer insight gathering - Regulatory landscape mapping - **Deliverables**: Comprehensive market intelligence #### 4. Task Manager (Agent) - Implementation Lead - **Role**: Execution planning and tracking - **Responsibilities**: - Resource allocation optimization - Timeline and milestone management - Risk tracking and mitigation - Team coordination - **Focus**: Turning strategy into action #### 5. Project Context (Memory) - Institutional Knowledge - **Role**: Historical context and continuity - **Maintains**: - Past decisions and rationales - Business model evolution - Stakeholder preferences - Success/failure patterns - **Benefit**: Informed decision-making ## Advisory Workflows ### 1. Strategic Analysis Process ``` Problem Definition → Market Analysis → Data Gathering → Opportunity Identification → Strategy Formulation → Implementation Planning → Success Metrics Definition ``` Example Engagement: ``` Client: "Should we expand into the European market?" 1. Business Consultant: Frames strategic questions and criteria 2. Research Skill: Analyzes European market conditions 3. Data Analysis: Models financial projections and scenarios 4. Project Context: Recalls similar expansion decisions 5. Report Executive: Synthesizes findings into recommendation ``` ### 2. Performance Optimization ``` Current State Analysis → Benchmark Comparison → Gap Identification → Root Cause Analysis → Improvement Strategies → Implementation Roadmap ``` Example: ``` Client: "Our customer acquisition costs are too high" 1. Data Analysis: Quantifies CAC trends and segments 2. Research Skill: Benchmarks against industry standards 3. Business Consultant: Identifies strategic options 4. Task Manager: Creates optimization project plan ``` ### 3. Crisis Management ``` Issue Identification → Impact Assessment → Stakeholder Analysis → Response Strategy → Communication Plan → Recovery Roadmap ``` Rapid Response Example: ``` Client: "Major competitor just announced 50% price cut" 1. Business Consultant: Immediate strategic assessment 2. Data Analysis: Models revenue impact scenarios 3. Research Skill: Analyzes competitor's sustainability 4. All Elements: Collaborate on response strategy ``` ## Business Intelligence Outputs ### 1. Executive Strategy Brief ``` MARKET EXPANSION ANALYSIS: European Entry Strategy EXECUTIVE SUMMARY • Opportunity Size: €2.3B addressable market • Investment Required: €15M over 24 months • Projected ROI: 34% by Year 3 • Risk Level: Moderate (6.5/10) KEY FINDINGS 1. Market Growth: 12% CAGR, outpacing US market 2. Competition: Fragmented, no dominant player 3. Regulatory: GDPR compliance required 4. Cultural Fit: Product adaptation needed for 3 markets RECOMMENDATION: PROCEED WITH PHASED APPROACH Phase 1: UK/Ireland (Similar market, language advantage) Phase 2: Germany/Austria (Largest opportunity) Phase 3: France/Belgium (Requires most adaptation) CRITICAL SUCCESS FACTORS • Local partnership for distribution • Regulatory compliance team • Customer support in local languages • Price point adjustment per market ``` ### 2. Data-Driven Insights Dashboard ``` QUARTERLY BUSINESS PERFORMANCE ANALYSIS Revenue Metrics: 📈 Revenue Growth: +23% YoY (Target: +20%) ✅ 📊 Revenue/Customer: $4,250 (↑ 8% QoQ) 💰 Gross Margin: 62% (Industry Avg: 58%) Customer Metrics: 👥 Active Customers: 12,456 (+18% YoY) 😊 NPS Score: 72 (Excellent) 📉 Churn Rate: 2.3% monthly (↓ from 3.1%) Operational Efficiency: ⚡ CAC: $487 (↓ 15% from optimization) 💵 LTV:CAC Ratio: 3.8:1 (Healthy) ⏱️ Sales Cycle: 21 days (↓ from 28 days) Action Items: 1. Invest in successful acquisition channels 2. Expand customer success team 3. Launch customer referral program ``` ### 3. Strategic Options Analysis ``` STRATEGIC OPTIONS: Response to Market Disruption Option A: Aggressive Price Matching • Pros: Retain market share, clear response • Cons: Margin erosion (-18%), price war risk • Success Probability: 45% Option B: Value Differentiation • Pros: Maintain margins, strengthen brand • Cons: Potential share loss short-term • Success Probability: 65% Option C: Market Segment Pivot • Pros: Escape direct competition, premium pricing • Cons: Execution risk, rebranding costs • Success Probability: 55% RECOMMENDATION: Option B with Elements of C Rationale: Preserves long-term profitability while beginning strategic pivot to premium segments ``` ## Decision Support Features ### Scenario Modeling ```yaml scenarios: base_case: revenue_growth: 15% probability: 60% key_assumptions: ["stable market", "current strategy"] optimistic: revenue_growth: 25% probability: 25% key_assumptions: ["market expansion success", "competitor struggles"] pessimistic: revenue_growth: 5% probability: 15% key_assumptions: ["economic downturn", "new competitor entry"] ``` ### Risk Assessment Matrix ``` High Impact / High Probability: • Regulatory changes in key market • Supply chain disruption → Immediate mitigation required High Impact / Low Probability: • Major acquisition opportunity • Technology disruption → Contingency planning needed Low Impact / High Probability: • Minor price pressure • Seasonal fluctuations → Monitor and adjust ``` ## Implementation Support ### Project Execution Framework ```yaml implementation_phases: phase_1: name: "Foundation" duration: "30 days" deliverables: - "Team assembly" - "Resource allocation" - "Success metrics definition" phase_2: name: "Pilot" duration: "60 days" deliverables: - "Limited market test" - "Feedback collection" - "Process refinement" phase_3: name: "Scale" duration: "90 days" deliverables: - "Full market rollout" - "Performance optimization" - "Success measurement" ``` ### Success Tracking - **Leading Indicators**: Weekly progress metrics - **Lagging Indicators**: Monthly business impact - **Milestone Reviews**: Bi-weekly checkpoints - **Stakeholder Updates**: Executive dashboards ## Customization Options ### Industry Specialization ```yaml industry_focus: current: "technology" specialized_knowledge: - "SaaS metrics" - "Technology adoption curves" - "Developer ecosystem dynamics" - "Cloud infrastructure economics" adaptable_to: - "healthcare" - "finance" - "retail" - "manufacturing" ``` ### Engagement Models 1. **Strategic Advisory**: High-level guidance 2. **Hands-on Consulting**: Deep implementation 3. **Interim Executive**: Temporary leadership 4. **Board Advisory**: Governance support