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# Infographic Content Analysis Framework
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Deep analysis framework applying instructional design principles to infographic creation.
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## Purpose
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Before creating an infographic, thoroughly analyze the source material to:
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- Understand the content at a deep level
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- Identify clear learning objectives for the viewer
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- Structure information for maximum clarity and retention
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- Match content to optimal layout×style combinations
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- Preserve all source data verbatim
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## Instructional Design Mindset
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Approach content analysis as a **world-class instructional designer**:
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| Principle | Application |
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|-----------|-------------|
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| **Deep Understanding** | Read the entire document before analyzing any part |
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| **Learner-Centered** | Focus on what the viewer needs to understand |
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| **Visual Storytelling** | Use visuals to communicate, not just decorate |
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| **Cognitive Load** | Simplify complex ideas without losing accuracy |
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| **Data Integrity** | Never alter, summarize, or paraphrase source facts |
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## Analysis Dimensions
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### 1. Content Type Classification
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| Type | Characteristics | Best Layout | Best Style |
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|------|-----------------|-------------|------------|
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| **Timeline/History** | Sequential events, dates, progression | linear-progression | aged-academia, craft-handmade |
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| **Process/Tutorial** | Step-by-step instructions, how-to | linear-progression, winding-roadmap | ikea-manual, technical-schematic |
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| **Comparison** | A vs B, pros/cons, before-after | binary-comparison, comparison-matrix | corporate-memphis, swiss-style |
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| **Hierarchy** | Levels, priorities, pyramids | hierarchical-layers, tree-branching | corporate-memphis, technical-schematic |
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| **Relationships** | Connections, overlaps, influences | venn-diagram, hub-spoke | corporate-memphis, data-visualization |
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| **Data/Metrics** | Statistics, KPIs, measurements | dashboard, periodic-table | data-visualization, technical-schematic |
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| **Cycle/Loop** | Recurring processes, feedback loops | circular-flow, s-curve | technical-schematic, corporate-memphis |
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| **System/Structure** | Components, architecture, anatomy | structural-breakdown, isometric-tech-stack | technical-schematic, ikea-manual |
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| **Journey/Narrative** | Stories, user flows, milestones | winding-roadmap, story-mountain | storybook-watercolor, comic-strip |
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| **Overview/Summary** | Multiple topics, feature highlights | bento-grid, periodic-table | chalkboard, corporate-memphis |
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| **Problem/Solution** | Root cause, fix, before-after resolution | bridge, iceberg | corporate-memphis, swiss-style |
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| **Categories/Collection** | Grouped items, taxonomy, catalog entries | periodic-table, tile-layout | corporate-memphis, flat-design |
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| **Spatial/Geographic** | Maps, regions, location-based data | isometric-map, isometric-tech-stack | technical-schematic, data-visualization |
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| **Cross-functional/Workflow** | Multi-team processes, handoffs, lanes | swimlane, linear-progression | corporate-memphis, technical-schematic |
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| **Feature List/Catalog** | Product features, spec sheets, repeated units | modular-repetition, bento-grid | tech-brand, material-design |
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| **Single Concept Spotlight** | One idea, deep dive, hero message | single-focal-point, big-typography | minimalism, luxury-minimal |
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| **Dialogue/Q&A** | FAQ, interview, conversation format | speech-bubbles, character-guide | paper-collage, cartoon-flat |
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| **Discovery/Exploration** | Hidden layers, reveal, non-linear browsing | hidden-details, nonlinear-path | impressionism, pen-sketch |
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| **Network/Multi-center** | Distributed nodes, peer relationships | multi-focal, hub-spoke | data-visualization, technical-schematic |
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| **Report/Long-form** | Structured document, sections, executive summary | chapter-layout, f-pattern | swiss-style, corporate-memphis |
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| **Marketing/CTA** | Persuasion, call-to-action, brand message | z-pattern, tile-layout | tech-brand, corporate-memphis |
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### 2. Learning Objective Identification
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Every infographic should have 1-3 clear learning objectives.
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**Good Learning Objectives**:
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- Specific and measurable
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- Focus on what the viewer will understand, not just see
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- Written from the viewer's perspective
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**Format**: "After viewing this infographic, the viewer will understand..."
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| Content Aspect | Objective Type |
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|----------------|----------------|
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| Core concept | "...what [topic] is and why it matters" |
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| Process | "...how to [accomplish something]" |
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| Comparison | "...the key differences between [A] and [B]" |
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| Relationships | "...how [elements] connect to each other" |
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| Data | "...the significance of [key statistics]" |
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### 3. Audience Analysis
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| Factor | Questions | Impact |
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|--------|-----------|--------|
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| **Knowledge Level** | What do they already know? | Determines complexity depth |
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| **Context** | Why are they viewing this? | Determines emphasis points |
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| **Expectations** | What do they hope to learn? | Determines success criteria |
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| **Visual Preferences** | Professional, playful, technical? | Influences style choice |
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### 4. Complexity Assessment
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| Level | Indicators | Layout Recommendation |
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|-------|------------|----------------------|
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| **Simple** (3-5 points) | Few main concepts, clear relationships | sparse layouts, single focus |
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| **Moderate** (6-8 points) | Multiple concepts, some relationships | balanced layouts, clear sections |
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| **Complex** (9+ points) | Many concepts, intricate relationships | dense layouts, multiple sections |
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### 5. Visual Opportunity Mapping
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Identify what can be shown rather than told:
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| Content Element | Visual Treatment |
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|-----------------|------------------|
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| Numbers/Statistics | Large, highlighted numerals |
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| Comparisons | Side-by-side, split screen |
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| Processes | Arrows, numbered steps, flow |
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| Hierarchies | Pyramids, layers, size differences |
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| Relationships | Lines, connections, overlapping shapes |
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| Categories | Color coding, grouping, sections |
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| Timelines | Horizontal/vertical progression |
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| Quotes | Callout boxes, quotation marks |
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### 6. Data Verbatim Extraction
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**Critical**: All factual information must be preserved exactly as written in the source.
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| Data Type | Handling Rule |
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|-----------|---------------|
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| **Statistics** | Copy exactly: "73%" not "about 70%" |
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| **Quotes** | Copy word-for-word with attribution |
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| **Names** | Preserve exact spelling |
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| **Dates** | Keep original format |
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| **Technical Terms** | Do not simplify or substitute |
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| **Lists** | Preserve order and wording |
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**Never**:
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- Round numbers
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- Paraphrase quotes
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- Substitute simpler words
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- Add implied information
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- Remove context that affects meaning
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## Output Format
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Analysis results (`analysis.json`) must be in the following format:
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```json
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{
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"title": "[Main topic title]",
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"topic": "[educational/technical/business/creative/etc.]",
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"data_type": "[timeline/hierarchy/comparison/process/etc.]",
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"complexity": "[simple/moderate/complex]",
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"point_count": "[number of main points]",
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"source_language": "[detected language]",
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"user_language": "[user's language]",
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"main_topic": "[1-2 sentence summary of what this content is about]",
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"learning_objectives": [
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"[Primary objective]",
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"[Secondary objective]",
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"[Tertiary objective if applicable]"
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],
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"target_audience": {
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"knowledge_level": "[Beginner/Intermediate/Expert]",
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"context": "[Why they're viewing this]",
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"expectations": "[What they hope to learn]"
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},
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"content_type_analysis": {
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"data_structure": "[How information relates to itself]",
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"key_relationships": "[What connects to what]",
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"visual_opportunities": "[What can be shown rather than told]"
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},
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"key_data_points_verbatim": [
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"[Exact data point 1]",
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"[Exact data point 2]",
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"[Exact quote with attribution]"
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],
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"layout_style_signals": [
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{
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"signal": "content_type",
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"input": "[type]",
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"suggests": "[layout]"
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},
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{
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"signal": "tone",
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"input": "[tone]",
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"suggests": "[style]"
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},
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{
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"signal": "audience",
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"input": "[audience]",
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"suggests": "[style]"
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},
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{
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"signal": "complexity",
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"input": "[level]",
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"suggests": "[layout density]"
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}
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],
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"design_instructions": "[Any style, color, layout, or visual preferences extracted from user's steering prompt]",
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"recommended_combinations": [
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{
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"layout": "[Layout]",
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"style": "[Style]",
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"recommended": true,
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"rationale": "[Brief rationale]"
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},
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{
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"layout": "[Layout]",
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"style": "[Style]",
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"recommended": false,
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"rationale": "[Brief rationale]"
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},
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{
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"layout": "[Layout]",
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"style": "[Style]",
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"recommended": false,
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"rationale": "[Brief rationale]"
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}
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]
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}
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```
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## Analysis Checklist
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Before proceeding to structured content generation:
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- [ ] Have I read the entire source document?
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- [ ] Can I summarize the main topic in 1-2 sentences?
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- [ ] Have I identified 1-3 clear learning objectives?
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- [ ] Do I understand the target audience?
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- [ ] Have I classified the content type correctly?
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- [ ] Have I extracted all data points verbatim?
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- [ ] Have I identified visual opportunities?
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- [ ] Have I extracted design instructions from user input?
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- [ ] Have I recommended 3 layout×style combinations?
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