Linking form-component adoption to fewer a11y bugs
WHAT IT TESTS: designing a sound measurement, not just claiming impact. OUTLINE: define both variables, segment by adoption level, control confounders, watch correlation-versus-causation.
WHAT IT TESTS: whether you can structure a credible analysis and avoid causal overreach. ANSWER OUTLINE: operationalize adoption (share of forms using system components per team or surface) and the outcome (accessibility bug reports per unit), then compare across teams or over time, ideally segmenting high-adoption versus low-adoption groups; control for confounders like team size, traffic, and reporting changes; acknowledge correlation is not causation and strengthen it with staged rollouts or a difference-in-differences view.
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- #metrics
- #accessibility
- #analysis
- #data
- #adoption
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