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Salesforce QA / Tester
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What QA metrics and KPIs matter at architect level?

Quality is measurable. Right metrics drive the right behaviors.

Test metrics:

  • Test coverage (Apex 75%+; LWC; UI).
  • Test pass rate in CI.
  • Test execution time — how long to run full suite.
  • Test maintenance cost — time fixing broken tests.

Defect metrics:

  • Defect density — defects per feature / KLOC.
  • Defect leakage — defects found in production vs caught in QA.
  • Time to fix — by severity.
  • Reopen rate — fixes that didn't work.

Velocity metrics:

  • Time to market — feature idea to production.
  • Release frequency — how often you ship.
  • Cycle time — start of feature to production.

Quality outcomes:

  • Production incident rate — quality reaching users.
  • Mean time to recovery — when things break.
  • Customer satisfaction with quality.

Process metrics:

  • Sprint commitment vs delivery.
  • Testing automation rate — % automated.
  • Code review feedback rate.

Reporting:

  • Daily: pass rate, blockers.
  • Weekly: trends, defect status.
  • Monthly: deeper analysis.
  • Quarterly: strategic review.

Anti-patterns:

  • Vanity metrics — count of tests without coverage.
  • Coverage-only — without quality.
  • Defect count as success metric — misleading; depends on testing intensity.

Senior QA insight: measure outcomes, not activity. Production stability is the goal.

The senior framing: DORA-style metrics adapted for Salesforce QA: deploy frequency, lead time, change failure rate, MTTR.

Why this answer works

Senior. The metric categories and DORA-adapted framing are mature.

Follow-ups to expect

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