# ANALISI DOCUMENTO: [Nome/Tipo Documento]

Agisci come Expert Document Analyst specializzato in [SETTORE/TIPO DOCUMENTO].

## 📄 DOCUMENTO CONTEXT

**Tipo**: [Contract/Report/Proposal/Research/Other]  
**Fonte**: [Autore, organizzazione, data]  
**Lunghezza**: [Pagine/words count approssimativo]  
**Scopo Analysis**: [Perché sto analizzando questo documento]  
**Decision Context**: [Che decisione supporta questa analysis]

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## 🎯 ANALYSIS FRAMEWORK

### LEVEL 1: EXECUTIVE SUMMARY EXTRACTION
Fornisci sintesi esecutiva (max 200 parole) che include:
- **Main Purpose**: Obiettivo primario del documento
- **Key Findings**: 3-5 punti più importanti
- **Critical Decisions**: Decisioni o raccomandazioni principali
- **Stakeholder Impact**: Chi è impattato e come

### LEVEL 2: STRUCTURAL ANALYSIS
Analizza organization e flow:
- **Document Structure**: Come è organizzato (sezioni, logica)
- **Argument Flow**: Come vengono presentati gli argomenti
- **Evidence Quality**: Solidità di data/sources/references
- **Missing Elements**: Cosa manca o è inadequately addressed

### LEVEL 3: CONTENT DEEP DIVE
Per ogni sezione significativa, identifica:
- **Core Claims**: Cosa viene affermato
- **Supporting Evidence**: Come viene supportato
- **Assumptions**: Assunzioni sottostanti (stated/unstated)
- **Implications**: Conseguenze se claims sono true/false

### LEVEL 4: CRITICAL EVALUATION
Valuta criticamente:
- **Strengths**: Aspetti convincenti e ben documentati
- **Weaknesses**: Gaps, logical flaws, insufficiente evidence
- **Bias/Perspective**: Potential bias dell'autore o organizzazione
- **Credibility Assessment**: Affidabilità complessiva

### LEVEL 5: ACTIONABLE INSIGHTS
Genera insights business-relevant:
- **Opportunities**: Cosa possiamo leverage positivamente
- **Risks**: Red flags o potential negative impacts
- **Questions**: Domande critiche da investigare further
- **Recommendations**: Next steps concreti basati su analysis

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## 🔍 SPECIALIZED ANALYSIS (Seleziona appropriato)

### A. FINANCIAL/BUSINESS DOCUMENTS
- **Financial Impact**: Revenue, costs, ROI implications
- **Market Assumptions**: Market size, growth, competitive assumptions
- **Risk Factors**: Financial, operational, market risks identified
- **Timeline**: Critical dates, milestones, dependencies

### B. LEGAL/CONTRACT DOCUMENTS  
- **Key Terms**: Critical clauses e obligations
- **Risk Exposure**: Liability, penalties, compliance issues
- **Rights & Obligations**: What each party must/can do
- **Termination/Exit**: How agreement can end, consequences

### C. RESEARCH/TECHNICAL DOCUMENTS
- **Methodology**: Research approach validity
- **Data Quality**: Sample size, bias, reliability
- **Conclusions**: How well supported by evidence
- **Applications**: Practical implications for our context

### D. COMPETITIVE/MARKET DOCUMENTS
- **Competitive Position**: How we compare
- **Market Trends**: Direction industry is heading  
- **Strategic Implications**: What this means for our strategy
- **Response Options**: How we might respond

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## 📊 OUTPUT SPECIFICATIONS

### EXECUTIVE BRIEF (1 page)

# ANALISI DOCUMENTO: TechCorp Competitive Intelligence Report

## EXECUTIVE SUMMARY EXTRACTION

**MAIN PURPOSE**: Comprehensive analysis of SaaS project management market landscape with focus on emerging threats and opportunities for 2025 strategic planning.

**KEY FINDINGS**:
1. Market consolidation accelerating (15 acquisitions in 18 months)
2. AI-powered features becoming table stakes (80% of competitors launching AI within 12 months)  
3. Enterprise segment showing 40% growth vs 12% SMB
4. New pricing models emerging (usage-based vs seat-based)
5. Integration ecosystem becoming key differentiator

**CRITICAL DECISIONS**: Report recommends aggressive AI investment and enterprise pivot within 6 months to maintain competitive position.

**STAKEHOLDER IMPACT**: 
- Product: Major feature roadmap adjustment needed
- Sales: Enterprise team scaling required
- Marketing: Repositioning campaign necessary
- Engineering: AI capabilities development priority

## ACTIONABLE INSIGHTS

**OPPORTUNITIES**:
- Enterprise market growth momentum (40% YoY) - we should double down
- AI adoption still early (competitive timing window open)
- Integration partnerships underexploited by competitors

**RISKS**:
- Current feature set becoming commoditized rapidly
- SMB market contraction may impact 60% of revenue base
- Venture-backed competitors raising capital for price wars

**CRITICAL QUESTIONS**:
1. Do we have AI development capability to match competitive timeline?
2. Can sales team handle enterprise complexity transition?
3. What's our war chest for potential price competition?

**RECOMMENDATIONS**:
1. **IMMEDIATE**: Audit AI capabilities gap vs competitors (2 weeks)
2. **SHORT-term**: Launch enterprise pilot program (Q1)  
3. **MEDIUM-term**: Develop AI-first feature roadmap (Q1-Q2)
4. **STRATEGIC**: Consider acquisition vs build analysis for AI capabilities