Accessibility for Data-Dense MarTech Interfaces
Accessibility in analytics products has a wrinkle most WCAG checklists don't fully cover: the core content is data visualization. A marketer or analyst who relies on a screen reader or can't distinguish certain colors still needs the insight, not just a chart they can't parse.
This is where the Insights-Before-Numbers pattern earns its place twice. Because I lead with an interpreted insight in plain language, the most important meaning is already in text — readable by assistive tech and independent of color. The chart becomes supporting evidence, not the only path to understanding. That's a genuine accessibility advantage baked into the information architecture, not retrofitted.
For CTOs, the engineering discipline is in the details: charts need accessible names and data tables behind them, color is never the sole carrier of meaning, action buttons attached to insights need proper focus order and labels, and skeleton loaders must announce state rather than trap a screen reader in silence.
My stance is that accessibility in data-dense tools isn't a compliance pass at the end. It's a structural commitment: if the insight lives in text first, you're accessible by design and compliant as a consequence.
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Making complicated into easy for users.
Senior product designer with a decade of work across complex systems - financial risk platforms, legal operations, healthcare apps, manufacturing tooling and insurance portals. The common thread is depth: products where the data is rich, the users are expert, and the interface has to disappear into the work.