Data That Drives Better Typography

Real measurements and insights that help web developers make informed decisions about fonts, readability, and user experience across different devices and contexts.

Reading Pattern Analysis

Our research team spent eighteen months tracking how users actually interact with different font combinations across mobile and desktop environments. What we discovered challenges many assumptions about web typography.

"The data showed that sans-serif fonts performed 23% better in scanning tasks on mobile devices, but serif fonts maintained higher comprehension rates for long-form reading on larger screens."

These findings come from observing real users navigate actual websites, not laboratory conditions. We tracked eye movements, reading speeds, and task completion rates across various demographics. The results help developers choose typography that actually works for their specific audience and content type.

Developer analyzing typography metrics on multiple monitors showing various font rendering tests

Performance Impact Measurements

Typography choices directly affect website performance. We measure font loading times, rendering costs, and bandwidth usage to help developers balance beautiful design with technical efficiency.

Font Loading Speed

Custom fonts can add 200-800ms to page load times. Our analysis shows which font formats and loading strategies minimize this impact while maintaining design quality.

Rendering Performance

Complex fonts consume more CPU resources during rendering. We track which typefaces maintain smooth scrolling and responsive interactions across different devices.

Bandwidth Efficiency

Font files range from 20KB to over 300KB each. Our data helps developers choose fonts that deliver maximum visual impact with minimal data transfer.

Performance metrics visualization area

Cross-Device Readability Studies

Typography behaves differently across devices, screen densities, and viewing conditions. Our ongoing research documents these variations to help developers create consistently readable experiences.

We test fonts on everything from budget Android phones to high-end monitors, measuring how letter spacing, line height, and font weight affect readability under various lighting conditions.

Screen resolution impact on font rendering quality and user preference patterns

Age demographics and their relationship to preferred font sizes and contrast levels

Cultural reading patterns and their influence on optimal typography choices

Environmental factors like ambient light affecting text legibility preferences

This research directly informs our educational content, ensuring developers learn typography principles backed by real-world data rather than theoretical assumptions.

Explore Learning Program

Typography researcher conducting usability tests with participants reading content on various devices

Siriporn Wattanakul - Typography Research Lead

Chanida Prathumwan - User Experience Analyst