# Research Patterns Guide

## Overview
Common patterns for extracting and structuring research content from Notion.

## Content Extraction Patterns

### Hierarchical Extraction
Extract content respecting the document hierarchy:
```
1. Main Topics (H1 headers)
   - Key Points (H2 headers)
     - Supporting Details (H3 headers)
       - Data points
       - Examples
```

### Data Point Extraction
Identify and extract quantitative information:
- **Metrics**: Numbers with units (e.g., "25% growth")
- **KPIs**: Key Performance Indicators
- **Comparisons**: Year-over-year, benchmarks
- **Trends**: Directional indicators

### Action Item Detection
Look for action-oriented language:
- Keywords: "recommend", "suggest", "propose", "should"
- Imperatives: "implement", "deploy", "analyze"
- Future tense: "will", "plan to", "intend to"

## Synthesis Patterns

### Theme Clustering
Group related content by theme:
1. **Technical themes**: Technology, infrastructure, systems
2. **Business themes**: Strategy, market, competition
3. **Operational themes**: Process, efficiency, workflow
4. **Customer themes**: Satisfaction, feedback, needs

### Priority Scoring
Rank content by importance:
- **Critical**: Urgent, high-impact, deadline-driven
- **Important**: Strategic, long-term value
- **Relevant**: Supporting information, context
- **Optional**: Nice-to-have, future consideration

### Evidence Mapping
Connect claims to supporting evidence:
```
Claim → Data Point → Source
"Market is growing" → "25% YoY growth" → "Q4 Market Report"
```

## Notion-Specific Patterns

### Database Queries
When extracting from Notion databases:
1. Filter by date range for recent content
2. Sort by priority or importance fields
3. Group by category or project
4. Aggregate metrics across entries

### Page Relationships
Follow page links strategically:
- **Parent pages**: For context and background
- **Child pages**: For detailed information
- **Linked pages**: For related topics
- **Mentioned pages**: For cross-references

### Content Types
Handle different Notion content types:
- **Text blocks**: Extract as-is
- **Toggle lists**: Expand and include all content
- **Tables**: Convert to structured data
- **Embeds**: Note source and type
- **Code blocks**: Preserve formatting

## Quality Checks

### Completeness
Ensure extraction captures:
- [ ] All main sections
- [ ] Key data points
- [ ] Action items
- [ ] Recommendations
- [ ] Links and references

### Accuracy
Verify extracted content:
- [ ] Numbers match source
- [ ] Quotes are exact
- [ ] Context is preserved
- [ ] Relationships are maintained

### Relevance
Filter content by:
- [ ] Topic relevance
- [ ] Time relevance (recent vs outdated)
- [ ] Audience relevance
- [ ] Objective relevance

## Advanced Patterns

### Sentiment Analysis
Identify tone and sentiment:
- **Positive indicators**: Success, achievement, growth
- **Negative indicators**: Challenge, risk, decline
- **Neutral indicators**: Stable, maintained, unchanged

### Temporal Analysis
Track changes over time:
- **Historical context**: Past performance
- **Current state**: Present situation
- **Future projections**: Plans and forecasts

### Cross-Reference Analysis
Connect information across sources:
- **Confirmatory**: Multiple sources agree
- **Contradictory**: Sources conflict
- **Complementary**: Sources add different perspectives

## Output Formatting

### Executive Summary Pattern
```
1. High-level conclusion (1-2 sentences)
2. Key findings (3-5 bullets)
3. Critical metrics (top 3-5)
4. Immediate actions (top 3)
```

### Detailed Report Pattern
```
1. Background and context
2. Methodology
3. Findings by category
4. Data analysis
5. Conclusions
6. Recommendations
7. Appendices
```

### Quick Brief Pattern
```
1. What: Core message
2. Why: Importance/impact
3. How: Key data/evidence
4. When: Timeline/urgency
5. Who: Stakeholders/owners
```