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