Improving Accessibility of the Yandex Tracker Interface
summary
A case study of improving accessibility of Yandex Tracker: the scope of UI changes, the volume of fixes (hundreds), and the move from initial complaints to a systematic process with automated tests. The talk explains how AI is used for prototyping, consultations, and context immersion, which accessibility tasks AI handles well and which still require human developer expertise.
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chapters (10)
- 0:00Welcome
- 15:32Tracker accessibility issues
- 21:41Yandex Tracker scope
- 34:47Automated accessibility checks
- 50:45Screen reader demo
- 1:00:06Checklist accessibility
- 1:03:58Hardest accessibility task
- 1:10:27AI in accessibility
- 1:58:25Q&A
- 2:09:47Accessibility resources
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