# Enterprise Analysis Frameworks Apply these frameworks after completing the six-dimension data collection. Execute in order: SWOT → Competitive Barriers → Risk Matrix → Comprehensive Scoring. ## SWOT Analysis Template Each SWOT entry MUST include evidence and source attribution. ``` | | Positive Factors | Negative Factors | |--------------|-----------------------------------|-----------------------------------| | **Internal** | **S (Strengths)** | **W (Weaknesses)** | | | 1. {description} | 1. {description} | | | • Evidence: {data/fact} | • Evidence: {data/fact} | | | • Source: {citation} | • Source: {citation} | | | • Impact: {assessment} | • Impact: {assessment} | | | | | | **External** | **O (Opportunities)** | **T (Threats)** | | | 1. {description} | 1. {description} | | | • Evidence: {trend/policy} | • Evidence: {pressure/risk} | | | • Source: {citation} | • Source: {citation} | | | • Probability: {assessment} | • Probability: {assessment} | | | • Impact: {assessment} | • Impact: {assessment} | ``` **Requirements**: - Each quadrant: 3-5 entries minimum - Every entry must have evidence with source - S/W must be data-backed (not opinions) - O/T must include probability and impact estimates **Strategic Implications Matrix** (generate after SWOT): - **SO Strategy** (leverage strengths to capture opportunities): 1-2 specific recommendations - **WO Strategy** (overcome weaknesses to seize opportunities): 1-2 specific recommendations - **ST Strategy** (use strengths to counter threats): 1-2 specific recommendations - **WT Strategy** (mitigate weaknesses to avoid threats): 1-2 specific recommendations ## Competitive Barrier Quantification Framework 7 barrier dimensions with weighted scoring: | Dimension | Weight | Strong | Moderate | Weak | |-----------|--------|--------|----------|------| | **Network Effects** | 20% | 4.5 — Clear network effects (social platforms, marketplaces) | 3.0 — Exists but replaceable | 1.5 — Minimal network effects | | **Scale Economies** | 15% | 4.0 — Unit cost drops 30%+ with scale | 2.5 — Cost drops 10-30% | 1.0 — Cost drops <10% | | **Brand Value** | 15% | 4.0 — Category leader, high pricing power | 2.5 — Known brand, competitive | 1.0 — Commodity brand, price-sensitive | | **Technology/Patents** | 15% | 4.0 — Core patents, hard to circumvent | 2.5 — Some patent protection | 1.0 — Peripheral patents only | | **Switching Costs** | 15% | 4.0 — High lock-in (data, ecosystem) | 2.5 — Moderate switching friction | 1.0 — Low switching cost | | **Regulatory Licenses** | 10% | 3.5 — Heavy regulation, hard to obtain | 2.0 — Standard regulatory requirements | 0.5 — Light regulation | | **Data Assets** | 10% | 3.5 — Massive proprietary high-quality data | 2.0 — Some data accumulation | 0.5 — Limited or public data | **Scoring**: Total = Σ(dimension score × weight) **Rating Scale**: | Score | Rating | Interpretation | |-------|--------|---------------| | ≥3.5 | A+ | Exceptional moat | | ≥2.8 | A | Strong moat | | ≥2.0 | B+ | Good moat | | ≥1.5 | B | Moderate moat | | ≥1.0 | C+ | Limited moat | | <1.0 | C | Weak moat | **Output format**: Present a scorecard table with each dimension's strength rating, raw score, justification (with evidence), and the weighted total with final rating. ## Risk Matrix Framework Assess 8 mandatory risk categories: ### Risk Assessment Scales **Probability**: | Level | Range | Score | |-------|-------|-------| | High | >70% | 0.7-1.0 | | Medium | 30-70% | 0.3-0.7 | | Low | <30% | 0.0-0.3 | **Impact**: | Level | Description | Score | |-------|-------------|-------| | High | >30% revenue impact | 3 | | Medium | 10-30% revenue impact | 2 | | Low | <10% revenue impact | 1 | **Risk Level**: Risk Value = Probability Score × Impact Score | Color | Level | Threshold | |-------|-------|-----------| | Red | High risk | ≥2.5 | | Yellow | Medium risk | 1.0 – 2.5 | | Green | Low risk | <1.0 | ### 8 Mandatory Risk Categories | # | Category | Typical Triggers | |---|----------|-----------------| | 1 | Market risk | Industry slowdown, demand shifts | | 2 | Competitive risk | New entrants, incumbents pivoting | | 3 | Technology risk | Tech obsolescence, disruption | | 4 | Regulatory risk | Policy tightening, compliance cost | | 5 | Financial risk | Cash flow stress, debt levels | | 6 | Operational risk | Key talent loss, supply chain | | 7 | Talent risk | Brain drain, recruiting difficulty | | 8 | Geopolitical risk | Trade friction, data localization | ### Risk Table Format | Category | Specific Risk | Probability | Impact | Risk Value | Level | Evidence/Triggers | Current Mitigations | Recommended Actions | |----------|--------------|-------------|--------|------------|-------|-------------------|--------------------|--------------------| **Requirements**: - All 8 categories must be assessed (no skipping) - Each risk entry must cite specific evidence or triggers - Provide current mitigations AND recommended actions - High risks: require immediate action plans - Medium risks: require monitoring plans - Low risks: require periodic review schedule ## Comprehensive Scoring (Final Section) After completing SWOT, barriers, and risk matrix, generate a comprehensive scorecard: ``` | Dimension | Score | Weight | Weighted | Key Evidence | |-----------|-------|--------|----------|-------------| | Business Quality | X/10 | 25% | | | | Competitive Position | X/10 | 20% | | | | Financial Health | X/10 | 20% | | | | Growth Potential | X/10 | 15% | | | | Risk Profile | X/10 | 10% | | | | Management Quality | X/10 | 10% | | | | **Total** | | 100% | **X/10** | | ``` Every score must reference specific evidence from the six-dimension data collection.