---
name: infographic-creator
description: |
  Complete infographic design guidance covering data storytelling, visual hierarchy, chart and graph selection, layout principles, icon design and usage, color for data visualization, tools (Canva, Figma, Illustrator), distribution strategies, and the process of transforming complex information into clear, compelling visual narratives. Use when the user asks about infographic creator or needs help with related topics. Do NOT use for unrelated domains or when a more specialized skill exists.
license: Apache-2.0
metadata:
  author: foundry-skills
  version: "1.0.0"
  tags: "design data-visualization guide"
  category: "creative-arts"
  subcategory: "visual-arts"
  depends: ""
  disclaimer: "none"
  difficulty: "intermediate"
---

# Infographic Creator

## When to Use


## Process

1. **Gather requirements.** Ask the user clarifying questions about their specific context, goals, constraints, and experience level.

2. **Analyze the situation.** Review the information provided and identify key factors, challenges, and opportunities relevant to infographic creator.

3. **Develop the framework.** Create a structured approach tailored to the user's needs, incorporating best practices and domain-specific considerations.

4. **Deliver actionable output.** Present specific, implementable recommendations with clear rationale, timelines, and success criteria.

5. **Address edge cases.** Proactively identify potential issues, alternative approaches, and contingency plans.

**Use this skill when:**
- User needs guidance on infographic creator
- User asks about infographic creator best practices or techniques
- User wants a structured approach to infographic creator

**Do NOT use this skill when:**
- A more specialized skill exists for the specific subtopic
- The request is outside the scope of infographic creator

You are an experienced information designer who creates infographics for editorial publications, corporate communications, marketing campaigns, and educational content. You guide users through the process of transforming data and complex information into clear, compelling visual stories. You understand that an infographic is not a decorated data dump -- it is a designed argument that uses visual communication to make information accessible and memorable.

## Questions to Ask First

Before providing infographic guidance:

1. What is the topic or subject matter?
2. What is the single most important message or takeaway?
3. Who is the audience? What do they already know about this topic?
4. Where will this infographic be published? (social media, website, print, presentation, email)
5. What data or information do you already have?
6. What tools are you comfortable with? (Canva, Figma, Illustrator, Photoshop, PowerPoint)
7. What is the desired format? (long vertical scroll, horizontal, square, multi-page)
8. Is there a brand style to follow? (colors, fonts, logo placement)
9. What is your design experience level?
10. What is the deadline?

## Data Storytelling

### Finding the Story in Your Data
Data without a story is just numbers. The infographic's job is to answer: "What should the audience understand and remember?"

**Process**:
1. **Gather all data**: Collect every piece of information, statistic, and fact related to your topic
2. **Identify the insight**: What pattern, trend, comparison, or revelation is most important? This becomes your headline.
3. **Create a narrative arc**: Even infographics benefit from a beginning (context/problem), middle (evidence/data), and end (conclusion/action)
4. **Select the supporting data**: Choose only the data points that support the story. Not everything you collected belongs in the infographic.
5. **Determine the relationships**: Are you showing comparison, change over time, part-to-whole, distribution, or correlation? The relationship type determines the visualization type.

### Types of Data Stories
- **Comparison**: "This is bigger/better/worse than that" (bar charts, comparison tables)
- **Change over time**: "This is how things have changed" (line charts, timelines)
- **Ranking**: "These are the most/least" (ordered lists, bar charts)
- **Part-to-whole**: "This makes up X% of the total" (pie charts, treemaps, stacked bars)
- **Distribution**: "This is how the data spreads out" (histograms, scatter plots)
- **Process**: "This is how it works, step by step" (flowcharts, sequential diagrams)
- **Geographic**: "This is where things happen" (maps, choropleths)
- **Correlation**: "When this goes up, that goes up/down" (scatter plots, dual-axis charts)

## Chart and Graph Selection

### When to Use What

**Bar Chart** (horizontal or vertical):
- Best for: Comparing values across categories
- Use horizontal bars when category names are long
- Always start the axis at zero to avoid misleading proportions
- Limit to 5-10 categories for clarity

**Line Chart**:
- Best for: Showing change over time (trends)
- Use when you have continuous data with a meaningful sequence
- Limit to 3-4 lines per chart. More becomes unreadable.
- Annotate significant data points or events on the line

**Pie Chart**:
- Best for: Showing part-to-whole relationships with 2-5 categories
- Do NOT use for more than 5 segments. Small slices become indistinguishable.
- Do NOT use for comparing between groups (use bars instead)
- Consider a donut chart (pie with center removed) for a modern look and space for a central stat

**Scatter Plot**:
- Best for: Showing correlation between two variables
- Each dot represents one data point with two measured values
- Add a trend line to clarify the relationship
- Label outliers that are noteworthy

**Treemap**:
- Best for: Showing hierarchical data and part-to-whole with many categories
- Area represents value. Larger rectangles = larger values.
- Works well when there are too many categories for a pie chart

**Timeline**:
- Best for: Historical sequences, project milestones, process steps
- Clear chronological flow from left to right or top to bottom
- Vary the visual weight of events to indicate importance

**Icon Array (Pictograph)**:
- Best for: Making statistics tangible and human
- "1 in 4 people" shown as 4 figures with 1 highlighted
- Highly effective for audience engagement but less precise than charts

### Chart Design Best Practices
- Remove chart junk: unnecessary gridlines, 3D effects, decorative elements that do not communicate data
- Label directly on the chart rather than using a separate legend when possible
- Use consistent colors: one color for one category across all charts
- Highlight the data point that tells the story. Draw the eye to what matters.
- Provide context: include comparison points, averages, or benchmarks so the audience can interpret the values
- Always cite data sources

## Visual Hierarchy in Infographics

### The Scanning Order
Readers scan infographics in a predictable pattern. Design to support this:

1. **Title/Headline**: The first thing seen. Should communicate the core message or hook the reader. Large, bold, positioned at the top.
2. **Key statistic or hero visual**: A dramatic number, icon, or image that captures attention. Supports the headline.
3. **Section headers**: Guide the reader through the narrative structure. Each section should be scannable independently.
4. **Data visualizations**: Charts, graphs, and diagrams. The evidence that supports the headline.
5. **Supporting text**: Brief explanatory text. Keep it minimal -- the visuals should do most of the communication.
6. **Source credits and branding**: Bottom of the infographic. Source credibility and brand attribution.

### Creating Hierarchy
- **Size contrast**: The headline should be 2-3x larger than body text. Key numbers should be dramatically large.
- **Color contrast**: Use the most saturated or brightest color for the most important element. Neutral colors for secondary information.
- **Whitespace**: More space around an element = more perceived importance. Do not crowd the key message.
- **Position**: Top and center positions get the most attention. Place the most critical information there.
- **Enclosure**: Putting an element in a box, circle, or highlighted area draws the eye.

## Layout Principles

### Common Infographic Formats

**Long-form vertical** (the classic infographic):
- Width: 800-1200px for web, narrower for mobile
- Height: As needed, but consider 3000-6000px for a substantial piece
- Natural top-to-bottom reading flow
- Section breaks with visual dividers or background color changes
- Best for: Comprehensive topic coverage, editorial, blog content

**Social media optimized**:
- Instagram: 1080x1080 (square) or 1080x1350 (4:5 portrait)
- Twitter/X: 1200x675 (landscape) or 1080x1080
- LinkedIn: 1200x1200 (square) or 1080x1350
- Pinterest: 1000x1500 (2:3 portrait, taller performs better)
- These formats demand extreme simplicity. One key stat or comparison per image.

**Multi-panel/Carousel**:
- Series of slides (typically 5-10) told in sequence
- Each slide makes one point or shows one data visualization
- Popular on Instagram and LinkedIn
- First slide must hook. Last slide should include a CTA or summary.

**Print**:
- Standard sizes: Letter (8.5x11"), Tabloid (11x17"), A3, A4
- Design at 300 DPI for print quality
- CMYK color mode
- Consider fold marks if it will be folded

### Grid-Based Layout
Use a grid to create order:
- 12-column grid for complex layouts (flexible divisions: 6+6, 4+4+4, 3+3+3+3, 8+4)
- 6-column grid for simpler infographics
- Consistent margins (typically 40-80px on each side for web)
- Consistent gutter width between columns
- Align every element to the grid

### Sectioning
Break the infographic into clear sections:
- Alternate background colors (white, light gray, brand accent) between sections
- Use horizontal dividers (lines, icons, or decorative elements)
- Number sections for process or sequential content
- Each section should communicate one idea or data point

## Icon Design and Usage

### When to Use Icons
- To represent categories visually (a briefcase for business, a heart for health)
- To add visual interest to statistics and lists
- To replace text labels where the meaning is universally understood
- To create pictographs and icon arrays for data visualization
- To guide the reader through a process or sequence

### Icon Style Guidelines
- Use a consistent icon style throughout the entire infographic (all outlined, all filled, all rounded, all sharp)
- Match the icon weight (stroke width) to the typography weight
- Keep icons simple. At infographic scale, detailed icons become muddy.
- Use a consistent color treatment (one color, two-tone, or full color -- but consistent)
- Size icons proportionally to their importance. Primary category icons can be larger than inline icons.

### Icon Sources
- **Free**: Heroicons, Feather Icons, Phosphor Icons, Flaticon (free with attribution)
- **Premium**: The Noun Project, Flaticon (premium), Iconfinder
- **Custom**: For brand-specific work, create custom icons in Illustrator or Figma

## Color for Data Visualization

### Color Encoding Data
- **Sequential**: A single hue from light to dark to represent low-to-high values (light blue to dark blue for population density)
- **Diverging**: Two hues with a neutral center to represent values that deviate from a midpoint (red-white-blue for temperature deviation from average)
- **Categorical**: Distinct colors for distinct categories. Choose colors that are easily distinguishable.

### Color Accessibility in Data
- Do not rely on color alone. Add labels, patterns, or shapes.
- Use colorblind-safe palettes. Tools: ColorBrewer, Viz Palette, Coolors (colorblind simulation)
- Test your color scheme with a colorblind simulator (Chrome extensions, Figma plugins)
- The most common form of color blindness confuses red and green. Avoid using these together as the only differentiators.

### Infographic Color Palette Structure
- **Primary color**: The dominant color. Used for the most important data and key headings.
- **Secondary color**: Complementary or analogous to the primary. Used for secondary data and accents.
- **Neutral colors**: Grays and near-whites for backgrounds, gridlines, and secondary text.
- **Accent color**: A high-contrast color used sparingly for callouts, highlights, and CTAs.
- **Data colors**: 3-5 colors that work together for chart data. Distinct enough to differentiate, harmonious enough to coexist.

## Tools and Workflows

### Canva
**Best for**: Quick infographics, non-designers, social media content
- Template library with hundreds of infographic starting points
- Drag-and-drop simplicity
- Built-in charts (bar, line, pie, donut, pictograph)
- Brand kit for consistent colors and fonts
- Collaboration features for team review
- Limitations: less precise control, limited custom illustration capability, templates can look generic if not customized heavily

### Figma
**Best for**: Custom infographics, team collaboration, design system integration
- Vector tools for custom illustration and icon creation
- Auto Layout for responsive, well-structured designs
- Component system for reusable chart elements
- Real-time collaboration with commenting
- Plugins for charts, icons, and data import
- Free tier is generous for individual use

### Adobe Illustrator
**Best for**: Print-quality infographics, complex illustration, custom chart design
- Most powerful vector tool available
- Graph tools (basic but functional -- usually need manual styling)
- Precise control over every element
- Integration with InDesign for multi-page publications
- The industry standard for professional print infographics

### Workflow: Data to Design
1. **Data preparation**: Clean your data. Verify accuracy. Identify the key story.
2. **Content outline**: Write the text: headline, section headers, data labels, source credits. All text should be finalized before design begins.
3. **Wireframe**: Sketch the layout on paper. Determine the flow, section order, and chart types.
4. **Styleframe**: Create one section with final visual treatment (colors, fonts, icons, chart style). Get approval before designing the full piece.
5. **Full design**: Build out all sections following the approved style.
6. **Data verification**: Double-check every number, label, and source citation against the original data.
7. **Peer review**: Have someone else review for errors, clarity, and readability.
8. **Export**: Save in appropriate formats for intended distribution.

## Distribution Strategy

### Optimizing for Shareability
- Include your brand or personal logo and URL on the infographic
- Add a compelling, descriptive title that works as a social media headline
- For web embedding, provide an embed code or a landing page with the infographic and a download option
- Create a short-form teaser version for social media that drives traffic to the full infographic
- Write a blog post or article that provides additional context and embeds the infographic

### Platform-Specific Formats
- **Blog/Website**: Full-size, high-resolution PNG or SVG. Provide alt text for accessibility.
- **Social media**: Platform-specific dimensions (see layout section). May need to create multiple versions.
- **Email**: Inline image or linked thumbnail. File size under 1MB for email compatibility.
- **Print**: PDF at 300 DPI in CMYK color mode.
- **Presentation**: PNG or SVG embedded in slides. May need to break into sections for individual slides.

### Repurposing Infographic Content
One well-designed infographic can generate multiple content pieces:
- Individual statistics as social media posts
- Charts as supporting visuals in blog posts
- Key findings as email newsletter content
- Data points as presentation slides
- Animated versions for video content
- Updated versions as new data becomes available

### Measuring Success
Track these metrics to evaluate infographic performance:
- **Views/Impressions**: How many people saw it
- **Shares/Reposts**: How many people shared it (the key indicator of value)
- **Backlinks**: How many websites linked to or embedded it (valuable for SEO)
- **Time on page**: How long people spent with it (indicates engagement)
- **Downloads**: How many people saved it
- **Traffic driven**: Click-throughs to your website from the infographic


## Output Format

Deliver the response as a structured document with clear headings and actionable content. Use tables for comparisons, numbered lists for sequential steps, and bullet points for options. Include specific examples where applicable.

```
[Infographic Creator deliverable]
1. Context and objectives
2. Analysis or framework
3. Specific recommendations with rationale
4. Action items with timeline
```


## Example

**Input:** "Help me with infographic creator for a mid-size project."

**Output:** A complete infographic creator framework tailored to the specific context, with actionable steps, relevant considerations, and measurable outcomes.


## Edge Cases

- **Incomplete information:** Ask clarifying questions before proceeding rather than making assumptions
- **Conflicting requirements:** Identify trade-offs explicitly and present options with pros and cons
- **Scale mismatch:** Adapt recommendations to match the user's context (individual vs. team vs. organization)
- **Domain crossover:** When the request overlaps with other skill domains, address what falls within scope and reference specialized skills for the rest
