Salt Square

Digital health

Automating away almost all SEV1 incidents for a virtual care platform

We reworked how a US digital health client approaches quality assurance. With a "wide but shallow" automation strategy we went from 0 to 65% coverage across legacy web and mobile platforms, cut regression time by 70% and reduced SEV1 incidents by almost 90%.

The challenge

  • Testing relied on institutional knowledge, without proper test cases
  • A custom legacy automation framework that was difficult to use
  • Long regression cycles that drained budget
  • SEV1 production incidents after almost every release

What we did

  • Evaluated both the quality process and the tooling, and introduced order first: test-case management with Jira and GitHub integration so all testing is visible and accessible
  • Instead of reworking the legacy framework, set up a TypeScript solution for web and mobile on Playwright and WebdriverIO
  • Wrote automation "wide but shallow", covering a large portion of features so bugs surface earlier in the SDLC
  • Reached 65% automation coverage within four months

Results

  • Faster releases to customers
  • Engineers focused on building quality in instead of fighting fires
  • SEV1 production incidents reduced by 90% within six months
  • A mindset shift: quality as a first-class citizen

Tech

TypeScript, Playwright, WebdriverIO, Qase, Jira, GitHub

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