Audience Adaptation Comparison
Run the Audience Adaptation Comparison Fullscreen
About This MicroSim
This interactive infographic demonstrates a fundamental principle of visual communication: the same dataset must be presented differently depending on who is reading it. All three panels show data from the same study on student engagement with interactive content, but each adapts the presentation for a different audience:
- General Public — A single bold statistic and a simple two-bar chart. No jargon, instant comprehension.
- Professional — Five detailed metrics with statistical notation and domain vocabulary. Analytical depth for experts.
- Stakeholder — Budget impact, ROI projections, and an action-oriented recommendation. Decision support for leaders.
Click any panel to read the design rationale explaining why those specific choices were made for that audience.
How to Use
- Compare the three panels side by side — notice how the same underlying data appears in completely different forms
- Click a panel to reveal the design rationale in the info box below
- Hover over panels to highlight their borders
- Reflect on which version you would find most useful and why
Lesson Plan
Grade Level
Undergraduate / Professional Development
Duration
10-15 minutes
Prerequisites
Basic understanding of what interactive infographics are and familiarity with common chart types (bar charts).
Activities
- Observation (3 min): Students examine all three panels without clicking. They write down three differences they notice between the panels.
- Rationale Discovery (5 min): Students click each panel to read the design rationale. They compare their observations with the stated design intentions.
- Redesign Exercise (7 min): Students choose a different dataset (e.g., campus recycling rates) and sketch how they would adapt it for the same three audiences, applying the principles they learned.
Assessment
Students can explain why vocabulary, chart complexity, and emphasis shift across audience types, and can apply these principles to adapt a new dataset for at least two different audiences.